{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "88f95a79",
   "metadata": {},
   "outputs": [],
   "source": [
    "import transbigdata as tbd\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d4fd1244",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Time</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10004</td>\n",
       "      <td>00:02:27</td>\n",
       "      <td>121.414583</td>\n",
       "      <td>31.16</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10004</td>\n",
       "      <td>00:08:45</td>\n",
       "      <td>121.414583</td>\n",
       "      <td>31.16</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10004</td>\n",
       "      <td>00:11:55</td>\n",
       "      <td>121.414583</td>\n",
       "      <td>31.16</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10004</td>\n",
       "      <td>00:18:13</td>\n",
       "      <td>121.414583</td>\n",
       "      <td>31.16</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10004</td>\n",
       "      <td>00:24:31</td>\n",
       "      <td>121.414583</td>\n",
       "      <td>31.16</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   VehicleNum      Time         Lng    Lat  OpenStatus  Speed\n",
       "0       10004  00:02:27  121.414583  31.16           1     37\n",
       "1       10004  00:08:45  121.414583  31.16           1     37\n",
       "2       10004  00:11:55  121.414583  31.16           1     37\n",
       "3       10004  00:18:13  121.414583  31.16           1     37\n",
       "4       10004  00:24:31  121.414583  31.16           1     37"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('D:/code_for_school/visualtaxi/gps_data/shanghai_taxi_gps.csv', header=None)\n",
    "data.columns = ['VehicleNum', 'Time', 'Lng', 'Lat', 'OpenStatus', 'Speed']\n",
    "data.head()                 #head函数其中一个默认参数为5，故只返回头5条数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8661c47d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>childNum</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>310230</td>\n",
       "      <td>崇明县</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((121.97980 31.35220, 121.95370 31.219...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>310119</td>\n",
       "      <td>南汇区</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((121.92760 31.15860, 121.94270 31.130...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>310120</td>\n",
       "      <td>奉贤区</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((121.36050 30.97800, 121.39070 30.987...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>310115</td>\n",
       "      <td>浦东新区</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((121.46760 31.16680, 121.46480 31.173...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>310116</td>\n",
       "      <td>金山区</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((120.99660 30.95120, 121.00200 30.951...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  name  childNum                                           geometry\n",
       "0  310230   崇明县         1  POLYGON ((121.97980 31.35220, 121.95370 31.219...\n",
       "1  310119   南汇区         1  POLYGON ((121.92760 31.15860, 121.94270 31.130...\n",
       "2  310120   奉贤区         1  POLYGON ((121.36050 30.97800, 121.39070 30.987...\n",
       "3  310115  浦东新区         1  POLYGON ((121.46760 31.16680, 121.46480 31.173...\n",
       "4  310116   金山区         1  POLYGON ((120.99660 30.95120, 121.00200 30.951..."
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the GeoDataFrame of the study area\n",
    "shanghai = gpd.read_file(r'D:/code_for_school/visualtaxi/geo_data/shanghai.json')\n",
    "shanghai.crs = None\n",
    "shanghai.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "173b2a3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shanghai.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7b08a11f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Time</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>300548</th>\n",
       "      <td>105</td>\n",
       "      <td>00:00:48</td>\n",
       "      <td>121.4666</td>\n",
       "      <td>31.2208</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300549</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:17</td>\n",
       "      <td>121.4681</td>\n",
       "      <td>31.2211</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301587</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:33</td>\n",
       "      <td>121.4695</td>\n",
       "      <td>31.2216</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301588</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:49</td>\n",
       "      <td>121.4700</td>\n",
       "      <td>31.2216</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301589</th>\n",
       "      <td>105</td>\n",
       "      <td>00:02:50</td>\n",
       "      <td>121.4695</td>\n",
       "      <td>31.2215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum      Time       Lng      Lat  OpenStatus  Speed\n",
       "300548         105  00:00:48  121.4666  31.2208           0      0\n",
       "300549         105  00:01:17  121.4681  31.2211           0     34\n",
       "301587         105  00:01:33  121.4695  31.2216           0     34\n",
       "301588         105  00:01:49  121.4700  31.2216           0      4\n",
       "301589         105  00:02:50  121.4695  31.2215           0      0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data Preprocessing\n",
    "# Delete the data outside of the study area\n",
    "data = tbd.clean_outofshape(data, shanghai, col=['Lng', 'Lat'], accuracy=500)  #剔除超出研究区域的数据\n",
    "\n",
    "# Delete the data with instantaneous changes in passenger status\n",
    "data = tbd.clean_taxi_status(data, col=['VehicleNum', 'Time', 'OpenStatus'])\n",
    "#删除出租车数据中载客状态瞬间变化的记录，这些记录的存在会影响出行订单判断。\n",
    "#判断条件为:如果对同一辆车，上一条记录与下一条记录的载客状态都与本条记录不同，则本条记录应该删去\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7ed4b63f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'slon': 113.6, 'slat': 22.4, 'deltalon': 0.004872390756896538, 'deltalat': 0.004496605206422906, 'theta': 0, 'method': 'rect', 'gridsize': 500}\n"
     ]
    }
   ],
   "source": [
    "# Data gridding\n",
    "# Define the bounds and generate gridding parameters\n",
    "bounds = [113.6, 22.4, 114.8, 22.9]\n",
    "params = tbd.area_to_params(bounds, accuracy=500)\n",
    "print(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "468042c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Time</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Speed</th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>300548</th>\n",
       "      <td>105</td>\n",
       "      <td>00:00:48</td>\n",
       "      <td>121.4666</td>\n",
       "      <td>31.2208</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1615</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300549</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:17</td>\n",
       "      <td>121.4681</td>\n",
       "      <td>31.2211</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>1615</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301587</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:33</td>\n",
       "      <td>121.4695</td>\n",
       "      <td>31.2216</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>1615</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301588</th>\n",
       "      <td>105</td>\n",
       "      <td>00:01:49</td>\n",
       "      <td>121.4700</td>\n",
       "      <td>31.2216</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1615</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301589</th>\n",
       "      <td>105</td>\n",
       "      <td>00:02:50</td>\n",
       "      <td>121.4695</td>\n",
       "      <td>31.2215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1615</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum      Time       Lng      Lat  OpenStatus  Speed  LONCOL  \\\n",
       "300548         105  00:00:48  121.4666  31.2208           0      0    1615   \n",
       "300549         105  00:01:17  121.4681  31.2211           0     34    1615   \n",
       "301587         105  00:01:33  121.4695  31.2216           0     34    1615   \n",
       "301588         105  00:01:49  121.4700  31.2216           0      4    1615   \n",
       "301589         105  00:02:50  121.4695  31.2215           0      0    1615   \n",
       "\n",
       "        LATCOL  \n",
       "300548    1962  \n",
       "300549    1962  \n",
       "301587    1962  \n",
       "301588    1962  \n",
       "301589    1962  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mapping GPS data to grids\n",
    "data['LONCOL'], data['LATCOL'] = tbd.GPS_to_grid(data['Lng'], data['Lat'], params)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1ca61e2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "      <th>VehicleNum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1490</td>\n",
       "      <td>1935</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1493</td>\n",
       "      <td>1939</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1494</td>\n",
       "      <td>1935</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1495</td>\n",
       "      <td>1939</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1496</td>\n",
       "      <td>1939</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   LONCOL  LATCOL  VehicleNum\n",
       "0    1490    1935           1\n",
       "1    1493    1939           1\n",
       "2    1494    1935           1\n",
       "3    1495    1939           3\n",
       "4    1496    1939           2"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Aggregate data into grids\n",
    "datatest = data.groupby(['LONCOL', 'LATCOL'])['VehicleNum'].count().reset_index()\n",
    "datatest.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "851d001a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1490</td>\n",
       "      <td>1935</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((120.85743 31.09868, 120.86230 31.098...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1493</td>\n",
       "      <td>1939</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((120.87204 31.11667, 120.87692 31.116...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1494</td>\n",
       "      <td>1935</td>\n",
       "      <td>1</td>\n",
       "      <td>POLYGON ((120.87692 31.09868, 120.88179 31.098...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1495</td>\n",
       "      <td>1939</td>\n",
       "      <td>3</td>\n",
       "      <td>POLYGON ((120.88179 31.11667, 120.88666 31.116...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1496</td>\n",
       "      <td>1939</td>\n",
       "      <td>2</td>\n",
       "      <td>POLYGON ((120.88666 31.11667, 120.89153 31.116...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   LONCOL  LATCOL  VehicleNum  \\\n",
       "0    1490    1935           1   \n",
       "1    1493    1939           1   \n",
       "2    1494    1935           1   \n",
       "3    1495    1939           3   \n",
       "4    1496    1939           2   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((120.85743 31.09868, 120.86230 31.098...  \n",
       "1  POLYGON ((120.87204 31.11667, 120.87692 31.116...  \n",
       "2  POLYGON ((120.87692 31.09868, 120.88179 31.098...  \n",
       "3  POLYGON ((120.88179 31.11667, 120.88666 31.116...  \n",
       "4  POLYGON ((120.88666 31.11667, 120.89153 31.116...  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate the geometry for grids\n",
    "datatest['geometry'] = tbd.grid_to_polygon([datatest['LONCOL'], datatest['LATCOL']], params)\n",
    "\n",
    "# Change it into GeoDataFrame\n",
    "# import geopandas as gpd\n",
    "datatest = gpd.GeoDataFrame(datatest)\n",
    "datatest.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d2ff6134",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 4800x1800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the grids\n",
    "fig = plt.figure(1, (16, 6), dpi=300)\n",
    "ax1 = plt.subplot(111)\n",
    "\n",
    "# tbd.plot_map(plt, bounds, zoom=10, style=4)\n",
    "datatest.plot(ax=ax1, column='VehicleNum', legend=True)\n",
    "plt.xticks([], fontsize=10)\n",
    "plt.yticks([], fontsize=10)\n",
    "plt.title('Counting of Taxi GPS Trajectory Points', fontsize=12);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b56a6ba9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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i4rTetzJKxubq6qrWfho1aiTa108//STabtWqVaLtFi5cWM5nYVjkvY+8/p6vatvXBQYGSgcPHqzwe4OifoqLi6WXLl2Szps3T9q6dWupiYlJmed67dq1pZ988ok0Ojpa7ddC3ddBnsOHD0sHDBggrVatWqlxOzs7Sz/88MNyxf26nJwc6Q8//CDt2LGj1MzMrNS+JRKJ9O2335YuXLhQGhYWJtqXvM9Rdf4p69GjR9JJkyZJnZ2dS92fvb29dNSoUdLg4GC1XqNx48aV+j5y/Phxaffu3RV+Zr/6LtG+fXtBfbVq1aQZGRlqxfRKQECAqL/169eXa5+KyPv7qvs5Y2lpKdrXsWPHymwXFxcnnTlzZqnf8V69toMGDVL7N4G6vy/Keo+LiIiQjh8/Xlq1alWFsdesWVO6dOlSaVZWllKxauKce/23izwBAQHS/v37S01NTZXaX61ataTDhw+X7ty5U63fd0RUcTBhTUQiMTExUolEIvqC8Oeff+o7NGlQUJC0VatWKn9ZcnBwkP7yyy8q9WXICesDBw5IbWxslH7+9vb2SiVsK1LC+unTp9K2bduqFNuiRYuU6lOef/75R6XXx8TERLp69WqpVGoYCeszZ85IPT09Vf571q1bVxoQEFDm/t+0hPVnn30mrVKlitrPt3bt2tILFy6oFO97770n2s/o0aNV2seDBw9EP+bNzMyk169fL7WdPhLWXbp0ET3fYcOGab1fZZWMTd2EtZ+fn2hfK1euFG23bt060XajRo0q57MwLNpIWOfn50s//vhjud9ryurn3Llz0jp16qh9npuYmEiXLFkiLSoqUvm1UPd1eN21a9ekvr6+KsdtZmYmXbhwoVpxv7Jhw4Yyk72l/Ttw4IBgf7pKWGdnZ0s//PBDpS5MvP5PIpFIx4wZI01NTVXpdVKUsM7MzJQOHTq0zH5ffZfYs2eP6LENGzaoFEtJPXv2FOzPwsKi1Aub5aHJhHWtWrVE+9q1a5fC7QsLC6Wff/55qYleRf/69u2r8gUebSSsf/zxR5W+k7i5ucm9MFSSJs45RQnr6OhoaceOHcu17/nz5yv7shNRBcQ5rIlI5MiRI5BKpYI6JycnDBgwQE8R/efEiRPo2LEjbty4oXLb5ORkTJs2DTNnzkRxcbEWotOdX375BcOHD0d6errSbVJSUtC9e3fcvn1ba3Hp0pMnT+Dr64srV66o1G7VqlVYsmSJyv0dPXoUffv2lXtLviKFhYVYuHAhFixYoHJ/mrZ161b07t0bjx49UrltTEwMhg4dim+++UYLkVVc169flztPt7JiY2PRrVs37NixQ+k2v/76Kzw9PQV1u3btwqZNm5Rq//LlSwwfPhzZ2dmC+m+++UalW6V1IT09HRcvXhTVT506VQ/RaJe8BUptbGxEdfIWEzt58iQyMzO1EValUFRUhGHDhuGnn34Sfa9RRmRkJJ4+fap2/4WFhVixYgUGDhyIwsJCtfejjt27d6Njx464evWqym3z8/OxevVqDBgwQDRvellyc3MxZswYfPjhh4iPj1e571f0cVwnJyeja9eu2LBhg8p/L6lUip07d6J9+/aIiYkpVxzZ2dno1q0b/vzzT6XbDB06VDRl34YNG9SO4fHjxzh9+rSg7r333pP73mRolH1PBf77XBw8eDCWL1+u1jzXx48fR9u2bXH37l2V22rKokWLMH36dJW+k0RFRaF9+/aIi4vTYmRl9y9v+kkiolc4hzURiZw9e1ZU17FjR5iY6O8t4+zZsxgwYIDcHxBvv/02BgwYADc3N1hYWCA+Ph7nz5/HqVOnkJeXJ9j2f//7H4qKivDjjz/qKnSNOnHiBKZPny774V29enX07NkTfn5+cHR0RHFxMaKionD06FFcu3ZN0DY7OxsTJkzAjRs3FP4tvb29ZV/qY2JikJaWJnvM1NQU3t7eZcao7Tl6MzMz0adPH9mXbIlEAj8/P3Tv3h1169aFlZUVkpKScPnyZRw8eFD0BX716tV455130KZNG6X6u379OoYOHYr8/HzRY61bt0bfvn1Rt25dVKlSBc+fP8fly5dx8uRJWVLwq6++goODQzmftfp27NiBiRMniuolEgnatm2LPn36oE6dOjAxMUFcXBxOnz6Ns2fPoqioSLatVCrFvHnzIJFIMHfuXLn9ODk54e2335aVs7KyRAvHubu7Kzw+GjRooM7TMwgSiQRNmjRBkyZN4OXlhRo1asDa2hrGxsbIzMzEkydPcOPGDZw9exYFBQWydgUFBZgyZQoaNWqk1MJ5VlZW2L9/P9q0aSOY8/iTTz5B69atBa+/PB9//DFCQkIEdUOGDMEnn3yi4jPWvosXL4re701MTNCuXTs9RaQdubm5chdYlDeHvLznnpqaiilTpmDHjh0GPaeqvnzxxRf466+/ZOVXc/62atUKjo6OyMnJQWxsLE6cOKHUvK5OTk5o0aIFvLy84ObmBmtra1StWhXZ2dlITEzEvXv3cPLkSSQmJgraHT16FIsWLcLXX3+t8ecoz4YNG/DRRx+J6i0tLdGjRw+0atUKzs7OqFatGl68eIHw8HCcPn0awcHBgu2PHTuG8ePH48CBA0r1W1BQgF69eslNQhkZGaFFixbo1q0b6tatC3t7e+Tm5iIlJQX37t3DtWvXcP/+fYX7NjMzE7zH3b9/X/B+amtri7p16yoVpzw5OTno0qWL6D0SABwcHDB48GA0bdoUjo6OSElJwYMHD/Dnn3/i2bNngm3v37+P9u3b4/bt27Czs1MrlqlTp+L69euycq1atdC3b19Z/xkZGYiOjhYc2yYmJpg6dSq+/PJLWd3du3cRGBgIPz8/lWP45ZdfRBd5PvzwQ9WfjI5FR0eLLsoC8t9Ti4uLMXDgQJw5c0b0WLVq1fDOO++gdevWcHJyQkZGBsLDw3Hw4EFEREQItn327Bk6duyImzdv6vy7zMaNG7F69WpZuUaNGrL3uBo1aiA3NxcRERE4ePAgQkNDBW0TExPxwQcf4OjRowr3//o5FxERIXhtLS0tlXq+ZmZmorqJEyfKvRjYrFkzdO7cGQ0bNoSNjQ1MTU2RmZmJtLQ0PHz4EHfv3sXNmzcF31GJqBLT5/BuIjJM9evXF91y9e233+otnpSUFKmLi4soprp160pPnDihsN3Tp0+l/fr1k3sL2aFDh8rs1xCnBHl1u59EIpHOmTOn1Fsz9+3bJ/f2wD/++EOpmMuaV1FVmpoS5PXn1KZNG2lQUJDCtpGRkVIfHx/RPnr16qVU37m5uVIvLy9Rew8PD+n58+cVtktISBBM32BhYSHahy6mBAkPD5daWVmJ+m7cuLH02rVrCtvdv39f7m3kpqam0hs3bijVtybPH20pz5QgXbp0kfbs2VO6c+dOaWJiolJtkpKSpDNmzBBNTdC4cWOV4t68ebMo7oYNG5Y6X6m851qvXj1penq6Un3qekqQL7/8UhRvs2bNtNqnqkrGp857pLw5YgFIw8PD5W7fsmVLuds3adJEumfPHpXnRjc0mp4S5NW8v8bGxtLPP/+81Hlbc3JyRHVbt26V1q9fX7pixQrpnTt3lIqjsLBQunPnTqmTk5MgFolEUubUO69T93W4du2aaL5oCwsL6erVq8uc7/XcuXNSd3d3Ud//+9//lOr7448/lnt8DhkyRPrw4cMy24eHh0uXLVsmrVmzZpmfkep8ryrNBx98IPf4WbRokdxjQyr972/99ddfy50XffDgwUr1W/K71utzVVtYWEjXr18vzc/PV9j+9dji4+NF8wC///77qr0Q0v+++zg4OAj207JlS5X3owpNTQkib+okMzMzuef+6tWr5R6vU6ZMKfWz8bfffpM7LV+rVq1K/Vu9oskpQV59JzY1NZWuXr1a4bFaXFws/d///ic1MjIS7UPZNV409T3g4sWLohjq168vvXTpklLtU1NTpbt27ZJ27NhRumDBArViIKKKgQlrIhLIy8uTO8/juXPn9BbTlClT5CZanj59Wmbb4uJi6ZgxY0Tta9SoIX358mWpbQ0xYf3qR+/27duV6nfXrl2i9t26dVOqraEmrF/969+/v8Iv5q9LSUmR1qxZU9DWyMhIqTkH16xZI+r3rbfekiYkJCgV+yeffKIwfl0krHv06CHqt0WLFkolKXNycqRdu3YVtW/SpIlSfVf2hLWyiV55tm3bJur31KlTKu1j7Nixon2MHDlS7rYhISGiuTnNzMyUvvggleo+YT1q1CjR85s0aZJW+1RVyfhUfY/MycmRNmnSRO4Pd0WOHTum8D0F+G8xsMGDB0u//fZb6YULF5ReWMtQaDph/er9ft++fWrFk5GRIS0uLlarbXR0tGgx1vfee0/p9uq8Drm5uVI3NzdBO0dHR+ndu3eV7jc9PV3atGlTwT7s7e3LPJZOnDgh9/uKOgMecnJypPHx8aVuo8mE9aVLl+QeN8p+1zp27JjcBeNKzsMtT8nvWq/+WVpalnphXJGRI0cK9mNubq70wtuvyFuYd8uWLSrHogpNJKyTkpJEF4oA+YvGR0ZGyv2brVixQqm+bt68KbW2tha1V+Z412TC+tXf+MyZM0rFvXLlSrU/WzX1PWDu3LmC/Ziamiq8SFuW7OxstdoRUcXAOayJSCAuLk7uPI/y5s7UheTkZNEcr8bGxvjzzz9Ru3btMttLJBJs3boVTZo0EdQnJSWpNHesIZk1axbef/99pbYdNWoUWrduLag7f/58uebeNQRubm7YuXMnqlSpUua2dnZ28Pf3F9QVFxeL5mYsqbi4WDT/o4mJCfbt2wdHR0el4vzuu+/0NjdwSEiI6DlWq1YNhw8fRvXq1ctsX6VKFQQEBIjO/Xv37uHvv//WaKwVkTKvoSLjxo3DsGHDBHWbN29WaR8bNmwQTdGzZ88e/PLLL4K67OxsDB8+XDQ357fffouWLVuq1KcuxcbGiuqUPe8qgqysLIwcORL37t0TPTZlyhSF7fr27YtPP/1U4eOZmZk4ePAg5s6di44dO8La2hqNGjXCuHHjsHnzZoSFhWki/Apl1qxZGD58uFptq1WrptRUIfLUrVsXP//8s6Bu//79cufX1ZTt27cjKipKVjYyMsLBgwdF34FKU716dRw8eFBwG39KSkqZ71HLly8X1S1cuBBz5sxRuu9XqlSpotPvnd99952o7tNPP1X6u1bfvn3lPv+1a9eqHdOaNWvQsWNHldt9/PHHgnJeXh62bt2q0j5KfvexsbHByJEjVY5FlxITEzFgwAA8f/5c9Ji899Qff/xRMKUM8N8UWYsXL1aqvxYtWuDXX38V1b+aelCXvvnmG3Tr1k2pbT/77DO4uLgI6k6dOqWNsBR68uSJoNy5c2e1p1KpWrWqJkIiIgPFhDURCbw+Z/Hr9LXIyubNm0XJ1Q8++ADNmzdXeh8mJib44YcfRPUVcR7ratWqiZKvZRkzZoygXFhYqNfFYTTB399fpYThyJEjYWxsLKgLCgoqtc2pU6dEiyxOmjRJpR/+RkZGcn8I64K84/vzzz8X/VApTfXq1bFmzRql9k2qGTt2rKB86dIlldpXrVoV+/fvh6WlpaD+008/xa1bt2TlDz/8EA8ePBBsM3ToUMyYMUPFiHVL3mdReS4SGIpnz57h559/RtOmTXH48GHR43Xq1MHMmTNL3cfatWuxZMkSGBmV/TW+uLgY9+/fx/bt2zFlyhR4enrCy8sLq1atQkJCgtrPo6KoVq2aYE5fXevTp49gDYPCwkLR+hKaIpVKRYvjjh49Wq35i+vXry9K1h48eFDh9hcvXkRgYKCgrlGjRli6dKnKfetaXFwcDh06JKhzdHTEsmXLVNrP7Nmz4eHhIai7cuWKaF5wZbi7u4sSz8pq3749mjVrJqjbuHGj0ouO3rt3T/S3HDt2rMEmBp88eYI1a9agSZMmchfibtWqFUaMGCGoy83NxZYtWwR1ZmZm+N///qdS3yNGjEDnzp0FdTExMXLf27Wlfv36Kh0rpqamotcjNjZWNO++NpVcUNXe3l5nfRNRxcKENREJvL6Q1+v0lSiQNwpWnUVfOnXqhEaNGgnq7t27J3ckhiEbMWIErK2tVWpTcoQ1ADx69EhTIemcpaUlRo0apVIbW1tb0Q/Jsl6Df//9V1Q3adIklfoF/lso7a233lK5XXmVPHfMzMzUin/kyJGihaNKLspIqit5PMbHxyMmJkalfXh7e4tGcObl5WH48OHIyMjAli1bRHeS1K9fX/RD3RDJ+yxS98Kpg4MDJBKJSv/U8ezZMzRr1kzuPy8vL9SsWRMuLi74+OOPERkZKWpvbW2Nw4cPw8LCotR+jIyMsHz5cly8eFGULFHGw4cPsXjxYri7u+PLL7+s8HfclGbEiBFaXwi4NEZGRnB3dxfUXb16VSt93blzB+Hh4YK6yZMnq72/fv36CcrXrl0TLWT9yuuL/70ye/ZsvS7Wrax///1X9Hk2duxY0cXAspiamsodyVvW3VzyTJgwQe33IUA8yjoiIkLuwoLylBxdDQDTpk1TO5byuHnzpsL3VE9PT9jb28Pd3R0LFy6Um3B1cXHB/v37Ra/ljRs3kJ6eLqgbMGCAShf0X5G3uKk6f3N1TZw4UamLl6/T9++Ckgnqa9euiRZZJiICAMP/FkFEOqVoBEZ5vjirq6ioSLBKOgC89dZbaNy4sVr7Gz58uGiF7MDAQAwZMkTtGHWtU6dOKrcp+WMZgFZvSdY2X19fuSuOl8Xd3R0PHz6Ulct6DUomFWrUqKH29B79+vUT9K1tCQkJolsuu3btKko8K8Pc3BwDBgzAtm3bZHVZWVm4c+cOfHx8yhtqpZGXl4dLly7hzp07CAkJQVJSEjIyMpCVlSU3uZ+fny+qi4mJQd26dVXqd+zYsbhw4YIgCf348WMMHjxYNNrMzMwM+/btqxAjlZUdDWhICgoKcOfOHbXa1qtXD7t371bp7iE/Pz+cPXsWN2/exM6dO/Hnn3/KnUpFkezsbCxduhTHjx/HwYMH1UrWGLouXbpofJ8hISG4ceMG7t69i+joaGRkZCAzM1NhMjciIkJQVvXClLLOnz8vKBsbG8tNTCmrXr16gnJubi4ePHggGr0LAOfOnROUTU1NDX4KiVcuX74sqis5ZZOy3n33XcybN6/M/ZelvMft6NGjMW/ePMGdKhs2bECPHj1KbZeVlYWdO3cK6jp37gwvL69yxaOu7Oxstd9TmzVrhj179sDV1VX0mCb/5gMHDoS5ubng/Ffnb66uivi7oE2bNtizZ4+sHBkZiSlTpuCnn34y2JH8RKQfTFgTkYCikV3p6emoWbOmTmN59OgRsrKyBHXlmXNVXrIxODi4QiWsS47KVIa8EdkVOWGtzmsAiO8SKOs1KDm3rCqJpJLK01Yd8qY7Ke+583rCGvjv3GHC+r9k1Jo1a3DgwIFyn1clR3wp64cffsD169cFx6y8OwTWrVuHFi1aqBueTsn7LKrI71uKODo6YtKkSVi8eLHKIzpfadmyJVq2bIn169fj8ePHuHjxIq5du4Zbt27h7t27Cu+ceuXGjRvo0qULrl+/rrfpv7RFU+9ReXl5+OGHH7B161bcv3+/XPtS9zwvS8kkmUQiga+vr9r7k3dRLTk5WVSXl5cnmIYI+C9ZWFESTyWn7DAxMcHbb7+t1r5cXV3h6OgoGO2r6pQgEolE7kUBVVhYWGDixImCObSPHDmCuLi4Ui9M7dy5UzRdgzp3NepT3bp18fHHH2PWrFkwNTWVu428v4m635HMzMzQtGlT3LhxQ1YXGhqKvLw8mJubq7VPVajznVjeRWtdfr6OHDkSixYtEnw2bdu2DcePH8f48eMxZMgQtGrVSuWR40RU+TBhTUQCikZg6iNhLe+HUXlGeZRcoExRH4ZMnRGy8kYjl1xopiJR5zUAIPrhUtprUFhYKPry7ubmpla/gHikmrbx3NGNZcuWYdWqVQpHVqpK3R+MFhYW2L9/P1q2bCm6yPfKsGHD1J4TVR9sbW1Fdeom+po0aaJwfQYAuH//vtbfE01NTWFtbY3q1aujfv36aNmyJfz8/NC7d2+FSRV1uLu7w93dHePHjwfw351Kd+7cwYULFxAQEIBLly7JHb0eHh6OSZMm4c8//9RYLIZAEwt1Xr58GePGjcPjx481EJH2EkMlR9cXFhaqPTpVkZSUFFFdcnKy6C4SVdZ60LeSn2X16tVTakFnRby8vAQJa1U/K62srDSS7P/oo4/w3Xffobi4GMB/x8OmTZtKndO95KK9NWvWxODBg8sdizaYm5vD2toaNjY2aNiwIVq0aIGOHTuiS5cuZSY6S/5NzMzM5I46Vpa3t7cgYV1cXIy0tDSdLByqzndieZ85uvxd4OTkhFWrVmHWrFmC+sTERHz99df4+uuvYWNjAz8/P7Rp0wa+vr7w8/PT6/RORKQfTFgTkYCLiwskEonoB21CQgI8PT11Gou8BEN5Rn/JS4CkpqaqvT990GRio6LSxWsgLzFWnmkUdD0FA88d7fv4449F80eXV3l+MHp6euKXX34RLbIK/JfErAjzVr+uTp06orqkpCS19nX27NlSH3dzcxMtsKoOV1dXREVFlXs/mmRsbAwfHx/4+Pjg008/xYMHD7BgwQK5cw4HBATgxo0bak99ZIhUXfOhpLNnz6J///54+fKlhiLSXmJIXjJZ0+SN1pf3WSDvM8NQlfy8LO9dBiWfe15eHl6+fKl0Erq8x+wr9evXR+/evXH8+HFZ3ebNm7FkyRK5c4tfuXJFdIFj8uTJev3e2alTJ9F0M5pQ8m9e3u9oir4j6SJhXVF/F3z66acoLCzEwoUL5c5fnZ6ejuPHj8uOXxMTE/j6+mLEiBEYOXKkYDFbIqq8eJ8FEQmYmZnJHUl68+ZNncdS8rZEAGrfMq2orbw+iOSNmFVn3uxXdHFb6Ot47mjXzp075Sar7ezsMGnSJPz222+4ePEioqKikJaWhpycHEilUsE/eYvuldfdu3fl1nt4eKBatWoa70+b5N3mLG+qG1KNl5cXDh8+rHCUZUW7sFGW8iz6l56ejhEjRoiS1UZGRujZsydWr16NkydPIjQ0FMnJybL56kue6+rMMauO0u4i0KaMjAxRXUUaCVnys6w8n5WK2qvyeanJhSqnT58uKMfFxeHIkSNyty252KKRkRGmTp2qsVgMiaH9zd9Uc+fORUhICEaPHl3mXQ2FhYW4dOkSZsyYAVdXV3z22WfIzs7WUaREpC9MWBORiLw5TksufqgL8hIs5flyIq9tRUvikG7IG21Tnh8f8n7QaxPPHe0pKCgQLaoFAAsWLEBsbCw2b96MCRMmoH379nB1dYWNjY3cH2JlzSusquPHj+Obb76R+9jJkycFc5lWBPI+h+7du6fx1+1N5e/vj549e4rq//nnHz1EY5hWrlwpGtXfsmVLPHz4EKdOncKCBQvQq1cveHt7w97eHpaWlnKnItDVMVty3vdmzZqJkufl/fdqqpnXyRsRrGhqIkNU8rOsvEkwQ/q87N27Nxo0aCCoK5mYBv4bnb9//35BXd++fVVeBLiiqMx/84rG09MTO3fuxPPnz7Fr1y5MnjwZb731FiQSicI2L1++xLfffgsfHx+N3B1FRIaLCWsiEuncubOo7sKFC6I5CrVNk3OYKmqr7nzIqqrIc0a/iaysrES3WZbndmtd3Kr9usp07hia8+fPIz4+XlA3Y8YMrF69WuGitfJockqV2NhYjB07Vu7cxK8sXLgQV65c0Vif2ta+fXsYGxsL6goLC0ULy5H6PvnkE1Hd48ePdf5Zb6j27NkjKNepUwdnzpxReZEzXU2fVPIWeW3cxSGPvb29qE5fo73VUfLzsryLYpZsb25urrcFKCUSCT766CNB3ZkzZxARESGo27p1K3JzcwV1FW2xRVWU/JtrY8HkN/U7krqqV6+OUaNGYdOmTXjw4AFSUlJw9OhRzJ8/X+Gc+GFhYejXr5/cBWKJqHJgwpqIRN555x3Rle34+Hi5c15qU40aNUR1Dx48UHt/9+/fF9WVNgeaJhcledPn+62IateuLSjfu3dP7X0pmqpBW/R97lRmp0+fFpSNjIywePFilffz5MkTjcRTWFiIESNGiC6K9OrVS7TdyJEjK8x7ka2tLdq3by+q//XXX/UQTeXUunVrUZ1UKtX5BTZD9ODBA9Eihp988onKc90WFBSI9qMtJRfGfvHiBWJiYrTer4ODg2gaC11/5pVHyc/LyMjIci2kW/LzUt+flRMmTBAkzKVSKTZu3Cgol3xfdXNzQ+/evXUWo66V/Jvn5+eXa1HVkn9zIyMjJqzLydbWFv369cOaNWtw9+5dPHr0CB9++KHoQnZoaGilm8qKiP4PE9ZEJFK3bl1069ZNVK/pBcbK0rBhQ9E8iOWZS/v1FbxfkXfb+SvybnNVZ2qH2NhY0cgVMnwlkzn3799Xe2qPq1evaiIkpfn4+IjqdHnuVGZPnz4VlBs2bChKFClDU6OdFy5ciMDAQEFdt27dcPz4cXzwwQeC+piYGIwbN67UkdiGZMKECaK6Q4cOiUa4k3oUJV81OYduRVXyPAeADh06qLyfW7du6ezzX94FiBMnTmi9XzMzM9Fnzu3btyvM/LIlYy8sLMTt27fV2ldMTAwSExMFdfr+rLSxscHo0aMFda+PqD5z5gzCw8MFj3/wwQdyp7epLDT5HSk/P190gaZx48blWveExBo2bIiff/4Z27dvFz32559/6iEiItKFyvtJRETl8umnn4rqzpw5o9MvBcbGxqIfYA8fPkRoaKha+ys5Px8A+Pn5Kdxe3krx6oyKPH/+vMptDEHJpMWbdpt427ZtBeXCwkK5x1BZXrx4gWPHjmkqLKXUrFkT9evXF9SdPXtWrdG1+fn5orsrrKys0LRp03LFWFElJycLyuqMoiooKMChQ4fKHcvRo0dFc1M7OTlh165dMDIywvr169GsWbMy2xiqESNGwMnJSVBXUFAg9/OJVJeQkCCqMzU1lTul0Jum5HkOqHeu7927VxPhKKVHjx6iup07d+qk75JTyRUWFoqmVNE0TX1Hkfc98MCBA2rtS9XvmbpScvHF1+esLjmntZmZGSZOnKiz2PRBk3/zI0eOiC5KGcLfXBsM4XfBqFGjRN9rKtIdHUSkGiasiUiufv36yR1N9MEHH2h8dNsff/yBZ8+eyX2s5G3tAPDLL7+o3MfFixcREhIiqGvatGmpIyNdXFxEI7zVWXyyot7CXnLBmIq0iJImDBs2THTr4fr161FYWKjSfn788Ue9LBRX8tzJy8vD1q1bVd7P3r17RVMEdO3aVfTavCksLS0FZXmJrbLs3r273O+j8kZLGxsbY/fu3bL3tSpVqmDfvn2ic7mizGddpUoVLF26VFS/b98+bNu2TfcBVTL//vuvqK5+/fqlLnb1pih5ngOqn+vp6en47bffNBVSmdq0aSP6TnPp0iWcOXNG630PHjxYVPfdd9+p/HmpCk19R+nWrZvo82zHjh0qjxAvLCzEpk2bRPXyFjfVtaZNm4q+0//yyy949uwZjhw5IqgfOnQoHB0ddRmezrVu3Vo0KOXIkSMKf4uURt7dp4bwN9cGQ/ld8NZbbwnK5Z2DnIgMFxPWRKTQxo0bUaVKFUFdSkoKunXrJvd2WVXl5+dj7ty5GDVqlMIFMyZOnCiK4ZdfflHpanphYSFmzJghqpdX9zojIyPRVfxjx46p9MXor7/+woULF5Te3pDIW4ioIi2kVF4uLi545513BHUhISFYs2aN0vt48OABVq5cqenQlPLxxx+L6pYvX65SojQjIwPz588X1Zd17lRmzs7OgnJYWBiioqKUbp+QkIC5c+eWK4aCggKMGDFCNGLe398fXbp0EdR5eHiILppVpPmsJ0+eLPfi6bRp07Q+gtPQBAcH4+LFixrZV35+Pr799ltRff/+/TWy/4qu5HkOAH///bdK+5g+fXq5F/BThYmJidz360mTJiEpKUmrffv6+qJjx46CutDQUPj7+2utz5LfUdRdF6BWrVqihHtCQoLci2WlWb9+PR49eiSoa9euHZo3b65WXJpWcpR1YGAgZsyYIbqoUJkXW3zF3NwckydPFtTl5eWpfPfOgQMHRBf+XF1dMWDAgPKGaJBKnnORkZF6mWKs5PdYeeu2EFHlwIQ1ESnk5eWF//3vf6L6Bw8eoG3btuWa6uKff/6Bj49PmbemOzg4YOzYsYK6wsJCDB06VKnEm1QqxeTJk3Hnzh1BvaOjI8aMGVNm+z59+gjKOTk5WLJkSZntgP9uUZM3B2tFIW9V7uPHj+shEv1ZvHixaOTVF198gR9++KHMtqGhoejevbteRlcDQKNGjUSjfF68eIHBgwcjMzOzzPZ5eXkYNmyY6Dxr2rQpunfvrtFYKxJ5yVN5SSJ5UlNT0b9/f7VGZb9uwYIFonnRu3fvrnDxx5EjR1bY+ayNjIywY8cO0Yi/vLw8jBo1Cp9//nm5zrGCggK1F9PVtbCwMHTs2BFdu3bFv//+q/bfrqCgAOPHjxfddQT8d6wQ0Lx5c9EdVt9//73SCyguX74cu3bt0kZopfrwww9FCwbHxMSgT58+ai/+mJSUhCVLlogWnC3piy++ENWtXr0a69atU7nPvLw8PH/+vNRtSn5HCQkJUXswxaxZs0R1a9euVfqi2KlTp+S+/86ZM0eteLRhyJAhqFWrlqAuICBAUPb29lZrrvaKaPr06aLF1ffv349vvvlGqfa3bt0SJb0BYObMmZX2DrSS59yLFy9Ea2goY86cOXIX81aGvAu3b7/9tlr7IiLDx4Q1EZVqypQpcr+Ex8XFoXPnzujXrx8CAwNRXFxc5r5ycnKwb98+dOjQAd27d1d6LurVq1eLfoBFRESgXbt2pd7qGhcXh4EDB+L3338XPfbrr7+KRm7LM378eNEXzx9//BH+/v4Kb3UtKirCli1b0L59e6SmpkIikVTIxVd8fX1Fi+7MmTMHhw8frjAJnvJq2bKl6AenVCrFJ598gh49euDUqVOi1+L+/fuYP38+fHx8ZLeXlpwPW1d+/vln0S2c165dQ8eOHREcHKyw3cOHD9G1a1dRgsLU1PSNX429d+/eotd03759mDx5cqm3kP/999/w9fWVLewkb1FXZfz111+iBJCzs7Ns3mpFKvJ81q6urjh27JhokUCpVIoVK1agXr16WLdundw5mRV5/vw5fvjhBzRo0ECt28D16ezZs+jWrRvc3d3x+eefK/3Dv7i4GCdPnkSrVq3wxx9/iB4fP348WrZsqelwKyRTU1MMGjRIUJeWloZu3bqVeofXs2fPMGrUKEHyVt1zXR2vpgEyNzcX1AcFBcHHx0fpKary8/Nx9OhRjB07Fq6urli5cmWZd5d169ZNlPiVSqWYM2cOhg0bJhp9LE9kZCRWrlwJNzc3nDx5stRtS84TXFxcjOHDh6u1eJ6fn59oZHFxcTHef/99fPnllwrvAiwqKsK6deswaNAg0TaDBw+WO1WKvpiYmIguXJb0JoyufsXV1RUrVqwQ1c+bNw8ff/xxqYtsb9++Hd26dROdE61bt67Ud6DJm5t74sSJOHv2rFK/A1/ZsmULGjVqhB49emDTpk2ihUoVOXr0KPr06SPqS5kBSERUMXEZcCIq04oVK2BpaYnFixeLRnQdP34cx48fh52dHbp37w5vb284ODjAwcEBwH/TSDx58gRBQUG4cuUKXr58qXL/dnZ22L59O3r27ClIEkdGRqJHjx7w8fHBO++8Azc3N1SpUgXx8fG4cOECTp48KVoIBfhvqoSBAwcq1XetWrUwY8YMrF+/XlC/bNky7Nq1C0OHDoWXlxeqVq2KlJQU3Lt3D8eOHUNMTIxs2/nz5+OPP/5AdHS0ys9dn5ydndG7d2/BqOqEhAQMGjQIZmZmqFOnDiwtLUXznW7evLlSJT2WLVuGmzdvim77PHPmDM6cOQNzc3M4OTmhSpUqSEhIEN0C7urqiu+//160gKguRuC4u7vjp59+Et2lcPv2bbRq1Qrt2rVD7969UadOHRgbGyMuLg5nzpzBv//+K/eCzKpVqyrV31Ydtra2mDVrFpYtWyao37JlCw4dOoThw4fDx8cHtra2sve/o0eP4t69e7JtjY2N8f3336t8B0Z0dDTGjx8vqHs1b3VZc46+SmS1aNFCMMJ+0aJFaN++PXx9fVWKRddatmyJ8+fPo1+/foiLixM8lpCQgDlz5mDOnDnw9vZGp06dULt2bdjb28POzg5FRUXIyspCSkoKHj16hLt37yI4OFjhCOU6dero4imVW2RkJFasWIEVK1bAzs4Obdq0QfPmzeHo6Ah7e3tUqVIFWVlZeP78OUJCQvDvv/8qvDPJy8tL7hQhb7LPP/8ce/fuFVyUDAsLQ/PmzdG7d2907doVtWvXRmFhIeLj43Hu3DmcOXMGeXl5su0nTpyIx48f63Tx5bZt2+LXX3/F+PHjBcd4UlISZsyYgc8//xydOnWCr68vHB0dYW1tjaysLKSnpyMqKgpBQUG4deuWynM4A8DXX3+N27dv4+zZs4L6P//8EwcPHkTLli3RrVs3uLq6ws7ODrm5uUhNTUVISAhu3LghuhuuNAMHDoSdnZ1gaqNr166hVatWqFatGmrVqiV3YMLt27fl7m/t2rWi9U4KCwuxdOlSbNiwAYMHD0bTpk3h4OCAtLQ03L9/HwEBAXJHrtepUwebN29W+rnoytSpU7FixQq5gw4sLS3x/vvv6yEq/Zk7dy5Onz4tGvzy888/Y9euXRgwYABatWqFmjVrIiMjAxEREQgICEB4eLhoX9WrV8euXbtECxNWJm3atIG3t7fgImlYWBi6du0KCwsL1K5dG1WrVhW1O378uGh0P/B/36OnTZuGRo0aoXnz5vD29oa9vT1sbGxQVFSE1NRUPHjwAKdPn8bDhw9F++jQoQNGjBih2SdKRIZDSkSkpJMnT0pr1aolBaCxfxYWFtIFCxZIc3Nzy+z/+PHjUktLy3L1N2PGDGlRUZFKzzs7O1vauHFjtfobMWKEtKioSOrq6iqoHzduXJn9bt26VbS/yMhIlWJ/peR+/P39lWoXGhqq8mt+9uxZufvq1KmTYLtOnTppNfaSxo0bJ9iPq6ur0m1fvnwp7dmzp8p//9q1a0vv378vDQ8PFz126NAhtZ6HOrZs2SI1MTFR+7yRSCTSNWvWqNTn2bNnlT429EXeOabMuZmfny86nlV5LTdu3CiNjIwUPbZ169ZS+2zdurWozfLly1V6zn/88YdoH3Xr1pWmpKSU2k7d81fTkpOTpUOGDCnX54Cif9WqVZOuXLlSmpOTo1QsJdur8p6iDnl/O038a968uTQxMVGrsSvL399f7fd8eW3La+PGjWq/rl27dpXm5ubq7bPv6NGjUltbW40dJ/v371eq35ycHOmoUaPK3V9p74ev/P777yrvtzSJiYly32dV+efl5SWNjo5W6rWSSsv33UQdI0eOlBv3lClTtNpvWeR9JuricyY7O1vav3//cv3Na9WqJb19+7bSfar7/UhT73Gqfv943T///CM1NjZW6fUp+dulevXqGnlPaty4sTQuLk6t14CIKgZOCUJESuvVqxcePXqExYsXi1bXVpWVlRWmTp2KsLAwrF69WnT7qjx9+vTBhQsX1BrhaW9vjw0bNuB///tfqbfNy1O1alWcO3dONEK2NBKJBHPnzsXu3btV7s+QeHt74/Tp02jQoIG+Q9ErCwsLnDhxAj/88INoWgJFhg4dihs3bsDLy0vuYpXK7kcTJk6ciBMnTqBhw4Yqt61Tpw4OHDig9DzNbwJTU1McPnxY5QXqbGxssG/fPkydOlXlPufNm4fr168L6nr06IFFixaptB9F81mXHI1pqOzt7fHnn3/i9OnTcm9PVoe7uzu+/PJLREREYNGiRUpNF6UPfn5+mDlzJlxdXTWyv2rVquGbb77BtWvXuGiVAlOnTsXPP/+s8rReEydOxPHjx5X6bqMt/fr1Q1BQEAYPHiy6E0oVJiYm6N+/P5o2barU9lWqVMGuXbvwww8/lHnnhyLGxsaws7Mrc7uxY8di8+bNomma1FWjRg2cPXsW06ZNU3mkrEQiwahRo3D58mXUrVtXI/FoQ8nFF1+ZNm2ajiMxDFWrVsWhQ4ewZMkSWFhYqNy+d+/euHLlyhszj3LXrl1x8OBB1KxZU+19ODk5lSsGiUSCcePG4dKlS3JHbhNR5VFxsyhEpBdWVlZYsWIFYmNjsXXrVrzzzjtKz8/o6OiIAQMGYMeOHUhISMDGjRtFc1OXxcfHB9evX8fevXvRvXv3Mn8Ment744svvsDjx4/L9WXc3t4ely9fxoYNG+Du7q5wO2NjY/Tp0weXL1/GN998U6GT1a+0bdsWDx8+xPHjx/HRRx+hffv2qFWrFqysrCrF81OWkZERpk+fjsjISGzduhUDBgyAp6cnrK2tYWpqCgcHB/j5+WHBggW4e/cuDhw4IPtSLm/xKGV+jGvSq3njN27ciHbt2pU6JYlEIkGLFi2wdu1ahIWFYciQITqMtGKoXr06/vrrL+zatavMRI6joyM+++wzPHr0CMOGDVO5r0OHDommJXJ2dsbOnTvVOgflzWd95MiRCjGf9Svdu3fH5cuXcevWLSxYsABNmjRR+rWwsLBA27Zt8emnn+LixYuIiIiAv7+/2sk1Xalbty7Wr1+PqKgo3Lp1C2vXrsXgwYNVShxYWVmhV69e2Lp1K2JjYzF37lzRwmMk9OGHHyI4OBgjRowo9bUyMzPDO++8gwsXLmDLli16TVa/Uq9ePQQEBCA0NBTTpk0r9fvL6+zs7DB06FD88ssviI2NxZEjR1S+4Dl9+nQ8efIEX3/9NVq3bl3m+WlkZIQ2bdpg+fLliI6OxoABA5TqZ9KkSYiLi8PWrVvx/vvvy6bFUSf5CPyXwNywYQNCQkIwceLEMpNrdnZ2eO+99xAUFIRdu3bB1tZWrX515e233xYdx23atIGPj4+eItI/Y2NjLF++HOHh4fjkk0/g5uZW6vZWVlYYOHAg/v33X5w4ccKgL1BowzvvvIOoqCjs27cPkyZNQuvWreHk5CR3mkB5Hj58iKCgICxfvhw9evRQ6XfkRx99hODgYGzbtk2nAz+ISD8k0oownIaIDFpxcTHCwsIQHh6Op0+fIisrC3l5eahWrRpsbW1hb2+PJk2aaGxU2Ouys7Nx9epVxMfHIzExEfn5+XBwcICjoyOaN2+utblIw8LCEBQUhMTERGRmZqJatWpwd3eHn5+fzhORZPgWL16MVatWycqmpqbIzMzUa0IjPT0dV69eRUJCApKSklBUVIQaNWqgZs2aaNWqlcEn7wxNTEwMrly5goSEBGRkZKBKlSqoVasWGjVqhKZNm5ZrhCMpJysrC6GhoYiKikJCQgKys7NRVFSE6tWrw8bGBjY2NnB1dYW3t3elm2c0JSUF4eHhePLkCdLT05GZmYnCwkJYWVnB2toa9vb2aNSoEerXr89jsRyys7MRGBiIJ0+eyBZVtrOzg4eHB1q1agUrKyuN9FNUVCQ6RpcvX44lS5aUe9+xsbG4c+cOkpOTkZKSgpycHNlxUrduXbz11ltwcXEpdz8lpaWl4caNG7LPnJycHFhaWsLOzg4NGzaEt7e3TheoVJZUKsXdu3cRHh6OxMREpKenw9raGjVq1EC9evXQsmXLCnXx/tdffxXdZbNt2zaMGzdOTxEZpkePHiE0NBRJSUlISUmBpaUlatSogbp166J169YVcjF1Q1VcXIyoqCg8fvwY0dHRyMjIwMuXL2Fubg5ra2s4OzujadOmZV5IIKLKhwlrIiIiLWvWrJlgMakWLVrg5s2beoyIiIgMVVZWlmiai/Xr12PmzJl6iogqixYtWiA4OFhWtrW1RVxcnNoj0omIiLSl4lwOJiIiqoD+/vtvQbIaADp27KinaIiIyNAlJCSI6nj7O5VXYGCgIFkN/DffOpPVRERkiJiwJiIi0pKUlBRMmTJFVC+vjoiICABCQkJEdW+99ZYeIqHKZOXKlYLyq7U5iIiIDBET1kRERGVYvXo1Hjx4oFKbhw8fomPHjoiJiRHUd+/eHV5eXpoMj4iIKpE9e/YIyiYmJmjSpImeoqHK4MiRIzh+/LigbsiQIZwXmIiIDBYT1kRERGX4/fff0ahRI7Rv3x7ffPMNbt68iZycHNF2mZmZOHPmDMaNG4emTZvi/v37gsctLS3x008/6SpsIiKqQNLS0rBkyRLs3btXUN+7d29YWlrqKSqqyAoKCvDrr79i9OjRgnpjY2MsXbpUT1ERERGVrXItkU5ERKQlUqkUly9fxuXLlwH892PP0dFRNq9oWloakpKSUFxcLLe9RCLBzz//jIYNG+osZiIiMmxffPEFDh8+jIyMDMTExMj9DJkxY4YeIqOK6JdffsEvv/wC4L/FO2NiYlBQUCDabtq0afD29tZ1eEREREpjwpqIiEgNRUVFiI+PR3x8fJnbWllZYefOnRg4cKAOIiMioooiJiYGd+/eVfj4pEmT0LNnTx1GRBXZ8+fPRQs9l+Tl5YWvvvpKRxERERGph1OCEBERlaFfv36wsbFRuZ2ZmRkmTZqEO3fuMFlNRERKMzY2xqeffopff/1V36FQJeLj44MzZ85wihkiIjJ4HGFNRERUhrVr12LNmjW4cuUKLl++jODgYERGRiIuLg6ZmZnIzc2FhYUF7OzsYG9vDx8fH3To0AE9e/aEs7OzvsMnIiIDZ2ZmBltbW7i7u6NTp06YMGECPDw89B0WVXBmZmZwcHCAj48P3n33Xbz33nswMWEKgIiIDJ9EKpVK9R0EERERERERERERERGnBCEiIiIiIiIiIiIig8CENREREREREREREREZBCasiYiIiIiIiIiIiMggMGFNRERERERERERERAaBCWsiIiIiIiIiIiIiMghMWBMRERERERERERGRQWDCmoiIiIiIiIiIiIgMAhPWRERERERERERERGQQmLAmIiIiIiIiIiIiIoPAhDURERERERERERERGQQmrImIiIiIiIiIiIjIIJjoOwBVpKen4/z587JynTp1YG5urseIiIiIiIiIiIiIiCqPvLw8PH36VFbu1KkTbGxsdNZ/hUpYnz9/HoMGDdJ3GERERERERERERERvhEOHDmHgwIE6649TghARERERERERERGRQWDCmoiIiIiIiIiIiIgMQoWaEqROnTqC8qFDh9CgQQM9RUNERERERERERERUuURERAimZS6Zk9W2CpWwLrnAYoMGDdCoUSM9RUNERERERERERERUuZXMyWobpwQhIiIiIiIiIiIiIoPAhDURERERERERERERGQQmrImIiIiIiIiIiIjIIDBhTUREREREREREREQGgQlrIiIiIiIiIiIiIjIITFgTERERERERERERkUFgwpqIiIiIiIiIiIiIDAIT1kRERERERERERERkEJiwJiIiIiIiIiIiIiKDwIQ1ERERERERERERERkEJqyJiIiIiIiIiIiIyCAwYU1EREREREREREREBoEJayIiIiIiIiIiIiIyCExYExEREREREREREZFBMNF3AERERERERJWVVCpFcXExpFKpvkMhIiKiCkwikcDIyAgSiUTfoWgdE9ZEREREREQaVFBQgBcvXuDFixcoKChgspqIiIg0QiKRwNTUFNWrV0f16tVhamqq75C0gglrIiIiIiIiDcjLy0NCQgKys7P1HQoRERFVQlKpFPn5+UhKSkJSUhIsLS1Rs2ZNmJub6zs0jeIc1kREREREROVUUFCAmJgYJquJiIhIZ7KzsxETE4OCggJ9h6JRTFgTERERERGVQ1FREZ4+fYrCwkJ9h0JERERvmMLCQjx9+hRFRUX6DkVjOCUIERERERFROcTHxyMvL09QZ2RkBGtra1hbW8PU1BRGRhwrREREROorLi5GQUEBMjIykJGRgeLiYtljeXl5iI+PR+3atfUYoeYwYU1ERERERKSmoqIiZGZmCurMzMzg6uoKExP+3CIiIiLNMTMzg6WlJWrUqIHo6Gjk5+fLHsvMzERRURGMjY31GKFm8DI/ERERERGRmkrOWS2RSFCnTh0mq4mIiEhrTExMUKdOHUgkEkF9ZVlLgwlrIiIiIiIiNZUcXV21alWYmZnpKRoiIiJ6U5iZmaFq1aqCuqysLD1Fo1lMWBMREREREamp5EimatWq6SkSIiIietNYWVkJykxYExERERERvcGkUimKiooEdRYWFnqKhoiIiN40JUdYFxUVQSqV6ikazWHCmoiIiIiISA3FxcWiusqw0BERERFVDPK+d8j7flLRMGFNRERERESkBnkjmEoufkRERESkLfK+d3CENRERERERERERERGRhjBhTUREREREREREREQGwUTfARAREREREZHhepGcgaiQp3iZmYPC/EKYmJmgajULuDWug+oO1voOj4iIiCoZJqyJiIiIiIhIJiU+Df/svID7V8MQHvQEiTHJCrd1rOsAjxb14e3bEN3GdIS9s60OIyUiIqLKiAlrIiIiIiIiwu2zIfhrwykEHrqBosIipdokxiQjMSYZlw9ex2+L/4DfoFYY8GEvNOvSWMvREhERUWXFhDUREREREdEbLOZhHL6d+BMeXA0v136KCotw8cBVXDxwFV6+Hpj728eo+5aLhqIkIiKiNwUXXSQiIiIiInoDFRUVYe/Xh/Ghz2flTlaX9OBqOD70+Qz7vjmMoiLlRmsTERERARxhTURERERE9MZ5kZyBLwZ9jfuBj7TWR35uATbN34nLh29g2aF5XKCRDEZwcDDCw8MRFxcHAHBxcUHDhg3RvHlzjfaTnp6OwMBAxMXFITk5GQ4ODnBxcYGfnx9sbGw02hepLjY2FqGhoYiKikJ6ejoAwNbWFi4uLmjdujVq1Kih3wD/v8jISNy+fRvPnj1DVlYWnJ2d4erqCj8/P5iammqsn4KCAly+fBkxMTGIj4+HlZUVatWqhebNm8PNzU1j/RApgwlrIiIiIiKiN0jys1TM77EMMQ/idNLf/cBHmN3pC3x1+gs41LLTSZ+ke0+ePMGNGzdw8+ZN3LhxA8HBwcjMzJQ97urqiqioKL3FV1BQgLVr12Lz5s14/Pix3G0aNGiAyZMnY/bs2eVKBN66dQvLli3D8ePHkZ+fL3rc3Nwcffr0gb+/P5o1a6Z2P6SaFy9e4MiRIzh58iTOnj2LZ8+elbr922+/jQ8//BDjxo1DlSpVdBTl/zlw4ADWrVuHK1euyH3czs4OI0aMwLJly+Dg4KB2P0lJSfD398fevXuRmpoqdxs/Pz/Mnj0bQ4cOVbsfIlVIpFKpVN9BKCs0NBSNG//f4h0hISFo1KiRHiMiIiIiIqI3VWFhIcLDhVNpeHh4wMTEcMcFvUjOwOxOX+gsWf26ul4uWHd+GUdaVyLnzp3D6tWrcfPmTYWJrlf0mbAODw/HyJEjERwcrNT2LVq0wJ49e9CgQQOV+1qzZg2++OILFBQUlLmtmZkZli9fjnnz5qncD6nmxx9/xJw5c+ReQCiLl5cXtm/fjpYtW2ohMrGsrCxMmTIFe/bsUWr7mjVr4vfff0evXr1U7uvEiRMYP348EhMTldp+9OjR2LhxIywtLVXui7RDW99F9J2DNdxvUkRERERERKQxRUVF+GLQ13pJVgNAzIM4fDHoa6w7vxTGxsZ6iYE06/bt2/j777/1HUapnj9/jh49eiA6OlpQ36BBAzRq1AhSqRShoaGCUddBQUHo2bMnrl69CkdHR6X7WrVqFRYvXiyos7CwQKtWreDs7Ixnz57hxo0byM3NBQDk5+dj/vz5kEgk+Oyzz8rxLKksUVFRcpPV1tbWaNKkCRwdHWFubi77G+Xk5Mi2efDgATp16oSTJ0+iQ4cOWo2zqKgII0aMwPHjxwX1NWrUQPPmzVG9enU8fvwYt27dwqvxpwkJCRg4cCDOnDmD9u3bK93XuXPnMGjQIMHrIpFI4OPjg/r16yM9PR23bt1CcnKy7PFdu3YhIyMDhw4dgpERl8Uj7eHRRURERERE9AY4sPaoVuesVsb9wEf4c91RvcZA2mdubg53d3d9h4Hi4mIMGjRIkKx2dnbGqVOnEB4ejkOHDuHw4cOIiIjAiRMn4OTkJNsuMjISgwcPhrI3pR89ehRLliwR1E2dOhUxMTE4f/489uzZgwsXLiAmJgaTJ08WbDd//nycPHmyHM+UVFG7dm0sWrRIdmfApUuXEBAQgD/++APnz59HUlISvv32W1hYWMjavHz5EgMHDkRSUpJWY1uwYIEgWW1qaooffvgBsbGxOHXqFPbt24egoCCEhISgbdu2su3y8vIwaNAgxMfHK9VPbGwshgwZIkhWt2vXDqGhobh58yb27duHv//+G7Gxsfj+++8FU+QcOXJEdKwTaRoT1kRERERERJVczMM4bP9yr77DAAD87r8XMQ/1M8qbNM/U1BTNmjXD5MmTsXHjRgQFBSEzMxObN2/Wd2jYtWsXrl27Jivb2dkhMDAQPXv2FG3bu3dvBAYGwtbWVlYXGBiIvXvLPm+Kioowd+5cQXJ71qxZ2Lhxo2hu4Ro1amDTpk349NNPZXVSqRRz5sxBUVGRKk+PVNSkSRMcOHAA0dHRWLlyJVq0aCH3bg9LS0vMmTMH586dg5WVlaw+LS0Nn3/+udbie/LkCb7//ntB3f79+zF9+nSYmZkJ6r29vfHPP/8IktYpKSlYunSpUn35+/sjLS1NVvbz88OZM2fg5eUl2M7c3ByffPIJ9u3bJ6hft26d6K4FIk1iwpqIiIiIiKiS+3biT8jPLXtOXV3Izy3A2kk/6zsM0oBx48YhIyMDt27dwqZNmzB16lT4+PiUa8FCTSkqKoK/v7+gbt26dXBzc1PYpl69eli3bp2gbsmSJSguLi61r+3bt+PRo/+7e8HT0xOrV68utc2aNWvg6ekpK9+/fx+7du0qtQ2p75NPPsGdO3cwdOhQpaeyaN26tejvuHfvXqXmJ1fH0qVLBfseP348Bg4cqHB7CwsLbNu2TZDM3rJlC548eVJqP+Hh4fj9999lZTMzM2zbtq3UhSUHDRqEcePGycp5eXlKJ8eJ1MGENRERERERUSV2+2wIHlwNL3tDHbp/JQx3zoXqOwwqJ1tb21KTXPp06dIlREZGysouLi4YM2ZMme3ef/99uLi4yMqPHz9GYGBgqW22b98uKM+aNQvm5ualtjE3N8fMmTNL3Q9pTt26dSGRSFRuN3HiRMEx/mpeZ03LycnBgQMHBHXz588vs13Dhg0xaNAgWbmwsBC7d+8utc3u3bsFo/mHDBkCDw+PMvsqGc++fftk87ETaRoT1kRERERERJXYXxtO6TsEuQw1LqocDh48KCiPHTtWqcU+jY2NRYntgIAAhdunpKTg4sWLsrKZmRlGjRqlVIyjR48WjEY/f/48UlNTlWpLulG1alXBSHgAePbsmcb7OXXqFF6+fCkrt23bFm+99ZZSbSdMmCAol3a8AuJzo2R7Rby8vNCmTRtZOTs72+AXXaWKiwlrIiIiIiKiSiolPg2Bh27oOwy5Ag9dR0p8WtkbEqmh5CKGnTt3VrptyW1PnDihcNvTp08LRqu2aNEC1apVU6ofa2tr+Pj4yMqFhYU4ffq00nGSbpiYmAjKry9UqCnlOV47dOggiPHWrVtISEiQu+3z589x584dWdnExATt2rVTui9Vzg2i8mDCmoiIiIiIqJL6Z+cFFBUa5kJuhQVF+GfnBX2HQZVQXl4eIiIiBHW+vr5Kt/fz8xOUw8PDFSYpQ0JCBOXXF8FTp6/QUE6VY0ikUqloTmhnZ2eN91Oe48jS0hJNmjQR1Ck6jkr207RpU1haWirdF49X0hUmrImIiIiIiCqp+1fD9B1CqR5cM6y5talyePTokWDUs6OjI6ytrZVub21tDQcHB1m5qKgIYWHyz6X79+8Lyg0aNFApVnd391L3R/r1zz//IC3t/+4EMTMzw9tvv63xfh48eCAoa+s44vFKFQUT1kRERERERJVUeNCTsjfSI0OPjyqmkqOr69atq/I+SrYJD5d/caW8fSnbD+nHd999Jyh369ZNpYsfykhNTRXNXa6t46i8x6urq6ugnJKSIkjoE2kKE9ZERERERESV0IvkDCTGJOs7jFIlRCchIyVT32FQJZOeni4oOzo6qryPkm1evHihlb6U7Yd0788//8Tx48cFdXPnztV4PyWPoapVq6o0TQegu+PVysoKVapUUaovovJgwpqIiIiIiKgSigp5qu8QlBJ5L0bfIVAlk5WVJShbWFiovI+SbTIz5V9YKW9fyvZDuhUZGYkpU6YI6oYPH46uXbtqvK+KdLyq0hdReTBhTUREREREVAm9zMzRdwhKycnK1XcIVMmUTMqVHBGqjJJJuZL71FRfyvZDupORkYF33nlHMNWFs7Mzfv75Z630V5GOV1X6IioPJqyJiIiIiIgqocL8Qn2HoJSCChInVVwSiUQnbdRpp24/pB35+fkYMmQIQkNDZXVmZmbYt2+fYCFObTLk47U8fRGpgglrIiIiIiKiSsjEzETfISjFtILESRWHlZWVoJyTo/rdBiXblNynpvpSth/SvqKiIrz33nv4559/ZHUmJibYs2cP2rdvr7V+K9LxqkpfROXBhDUREREREVElVLWa6nOT6oOFleq3pBOVpiIlAJn8MwzFxcWYMGECAgICZHVGRkb4/fffMXjwYK32XZGOV1X6IioPJqyJiIiIiIgqIbfGdfQdglLqNamr7xCokqlevbqgnJSUpPI+EhMTBWUbGxut9KVsP6Q9UqkU06ZNw44dO2R1EokEmzdvxqhRo7Tef8lj6OXLl8jOzlZpH7o6XrOyskQJax6zpA1MWBMREREREVVC1R2s4VhXN3Ouqqumaw1Y21fTdxhUyXh4eAjK0dHRKu+jZJuS+9RUX8r2Q9ozY8YMbNq0SVD3888/Y8KECTrp397eHra2toK6mJgYlfahr+PVzs5OFDuRJjBhTUREREREVEl5tKiv7xBKZejxUcXk6ekJY2NjWTkxMRGZmZlKt8/IyEBycrKsbGxsrDAB6OXlJShHRESoFOuTJ09K3R9p1+zZs/HTTz8J6tavX49p06bpNA5dHUea7sfb21ul9kTKYsKaiIiIiIiokvL2bajvEErl1YajSUnzzM3N4e7uLqi7cuWK0u0DAwMFZQ8PD5ibm8vdtnHjxmr3AwCXL18udX+kPfPnz8d3330nqPvmm28wc+ZMncdSnuMoOzsbd+/eLXV/iurv3r2Lly9fKt0Xj1fSFSasiYiIiIiIKqluYzrC2MS47A31wMTUGN3GdNR3GFRJ9e7dW1A+d+6c0m1LbtunTx+F2/bo0UMwmjsoKEjp0dyZmZkIDg6WlU1MTNCjRw+l4yT1ff755/j6668FdStXrsTcuXP1Ek95jteLFy+isLBQVm7evDlq1qwpd1tnZ2c0bdpUVi4sLMSlS5eU7kuVc4OoPJiwJiIiIiIiqqTsnW3hN6iVvsOQy29Qa9g7c+5T0o7BgwcLyjt27EBRUVGZ7YqKirBz585S9/U6BwcHtG/fXlbOz8/H7t27lYpx165dKCgokJU7duwIOzs7pdqS+pYtW4YVK1YI6vz9/bFo0SI9RQT06tULFhYWsvKVK1fw8OFDpdpu27ZNUC7teJX3+NatW5Xq5+HDh7h27ZqsbGlpiZ49eyrVlkhVTFgTERG9QXoYDZf7j4iIKq8BH/bSdwhyGWpcVDl06NAB9erVk5VjY2NFiWh5du7cibi4OFnZ3d0d7dq1K7XN2LFjBeXvvvsOeXl5pbbJy8vD+vXrBXXjxo0rMz4qn2+++Qb+/v6CuoULF+LLL7/UT0D/X9WqVTFs2DBB3VdffVVmu7CwMBw8eFBWNjExwahRo0ptM3r0aMFdAQEBAQgPDy+zr5LxvPvuu6hSpUqZ7YjUwYQ1ERERERFRJdasS2N4+RrWXNHebRvi7c6N9B0GVSASiUTwr6wpE4yNjbF06VJB3ezZsxEVFaWwTVRUFGbNmiWoW7FiBYyMSk+djBs3Dp6enrLyo0ePyhytu3DhQjx69EhW9vb2xujRo0ttA/w3mvb118HNza3MNvSfH374AfPmzRPUzZkzB6tWrdJ4X507dxb8nZRJiH/55ZcwNTWVlbdt24a//vpL4fa5ubmYMGEC8vPzZXWTJk0Szd9ekoeHh+DiSH5+PsaPH4/c3FyFbQ4fPiwYyW1mZiZK/BNpEhPWREREREREldzc3z6GWRXTsjfUAbMqppiz5SN9h0EaEhsbi6ioKNG/58+fC7YrLCyUu11UVBSSk5O1Etvo0aPRpk0bWTk1NRV+fn74+++/RdueOnUKbdu2RVpamqzOz88PI0aMKLMfY2NjfPvtt5BIJLK6devW4YMPPkBKSopg2+TkZEydOlWw2J9EIsHatWsFo15Js3777TfRYopDhgzB9OnTFR6Xiv6lp6drJcb69euLYhw2bBh+/PFHQVIaAB48eIBu3boJFgi1t7dXOom8dOlS2Nr+35RMgYGB6N69u2gakry8PPzwww8YPlx4R+acOXPg6uqqVF9E6jDRdwBERERERESkXXXfcsHYL0dg84Kyp0TQtnFLR6DuWy76DoM0pH379oiOji5zu7i4OMEUHa8bN26caB5eTTAyMsLBgwfh6+uLmJgYAEB8fDx69eoFDw8PNGrUCFKpFKGhoYiIiBC0dXNzQ0BAgCAJXZr+/ftjxYoVWLx4sazu119/xY4dO9CmTRs4OTkhPj4e169fR05OjqDtmjVrRIvukWZt374dUqlUUBcQEICAgACV9+Xv76+1KUTWrFmD0NBQnDhxAgBQUFCAGTNmYPny5fDx8UG1atXw5MkTBAcHC56PmZkZDh48CGdnZ6X6qV27NgICAtCrVy9ZMvzy5cvw9vZGixYtUL9+fbx48QLBwcFISkoStO3fvz+WL1+uoWdMJB8T1kRERERERG+AYXP6I/CvG7gf+KjsjbXE288TQ2f311v/9OZxdnbG6dOnMXLkSNy6dUtWHx4ernDeXh8fH+zduxc1a9ZUqa9FixZBIpHA399ftphiTk6OwulLTE1NsXz5ctE0FaUpOW3D66NkqeIzNjbGvn37MHnyZOzdu1dWn5iYiJMnT8pt4+joiN9//x0dOnRQqa/OnTvj4MGDGD9+vCwpLZVKcfPmTdy8eVNum/feew+bNm3i3QCkdZwShIiIiIiI6A1gbGyMZYfmoa6XfkY3u3rXxvLD85noIJ1r2LAhrl27htWrV6N+/foKt3N3d8fq1atx9epVNGjQQK2+Fi5ciGvXrmHgwIEwMzOTu42ZmRkGDhyI69evY/78+Srt//UpIACI5tymis/Kygp79uzB/v374evrq3A7Ozs7fPjhhwgJCVF7hH7fvn0REhKCadOmlXrxw9fXFwcOHMDu3bthaWmpVl9EqpBIS94TYcBCQ0PRuHFjWTkkJASNGnGhDiIiImX1MBout/508X4dR0JEVPEVFhaKRmh6eHjAxMSwb2RNfpaK+T2WIeZBnM76dPWujTV/fw6HWnY665NIkaCgIISFheHZs2cAgFq1aqFhw4Zo0aKFRvtJS0tDYGAg4uLikJKSAnt7e7i4uMDPz0/tkdF16tRBbGwsAMDT0xOhoaG8CFTJRUZGIjg4GM+ePUN2djacnJzg6uqKdu3aKbwooo78/HxcvnwZ0dHReP78OSwtLeHi4oLmzZsrnM6H9E9b30X0nYM17G9SREREREREpFEOteyw7vwyfDHoa51MD+Lt54nlh+fD2r6a1vsiUkaLFi00npyWx9bWFv369dPY/sLCwmTJagD44osvmKx+A9SrV08nCWMzMzN06dJF6/0QKYNTghAREREREb1hqjtYY935pZjy1RiYVTHVSh9mVUwx5asxWHd+KZPVRBrw77//yv7v7e2NkSNH6jEaIiLtYcKaiIiIiIjoDWRsbIx3PxuIDcHfwLttQ43u27ttQ2wI/gbvfjaQI0CJNOT1hLW/vz+MjJjSIaLKiVOCEBERERERvcHqvuWC7y+vxJ1zofhrwykEHrqOwoIilfdjYmoMv0GtMeDDXni7M9caItIkqVSKc+fOAQAaN26M4cPlr0tCRFQZMGFNREREREREeLtzI7zduRFS4tPwz84LeHAtHOFBT5AQnaSwTU3XGvBoUR9ebTzQbUxH2Durt5AcEZVOIpEgMTFR32EQEekEE9ZEREREREQkY+9si3c/Gygrv0jOQFTIU+Rk5aIgvxCmZiawsKoCt8Z1UN3BWo+REhERUWXEhDUREREREREpVN3BmlN8EBERkc5whn4iIiIiIiIiIiIiMggcYU1ERPQGOV28X259DyPxwj2KtiUiIiIiIiLSFo6wJiIiIiIiIiIiIiKDwIQ1ERERERERERERERkEJqyJiIiIiIiIiIiIyCAwYU1EREREREREREREBoGLLhIREZHcBRa5ECMRERERERHpGkdYExEREREREREREZFBYMKaiIiIiIiIiIiIiAwCE9ZEREREREREREREZBCYsCYiIiIiIiIiIiIig8BFF4mIiEguLrBIREREREREusYR1kRERERERERERERkEJiwJiIiIiIiIiIiIiKDwIQ1ERERERERERERERkEJqyJiIiIiIiIiIiIyCBw0UUiIiKSq4fRcFEdF2IkIiIiIiIibWLCmoiIiIiIiBRKz3iJJzHJeJlTgMLCIpiYGKOqhSnq13WAjXVVfYdHRERElQwT1kRERERERCSTnJaFv8/fR0hYPB49fo6E5EyF29Z0qAZPdyc0buiMnp284WBrpcNIiYiIqDJiwpqIiIiIiIgQfC8GAadu4+L1CBQVFSvVJiE5EwnJmbhwLRwbd19Ch9YNMKRXM/g0qavlaImIiKiyYsKaiIiIiIjoDRYdm4JVP51EaFh8ufZTVFSMc1fCcO5KGBo1dMaij3vDtba9hqIkIiKiN4WRvgMgIiIiIiIi3SsqKsauQ9cx4bMd5U5WlxQaFo8Jn+3A7kPXlR6tTURERARwhDUREREREdEbJz3jJRauOYR7j55prY/8/EL8vOMCLl6PwOoFg7hAYyVXVFSEiIgI3L9/H8+ePcOLFy9gbm4OW1tbuLu7o2XLlrC0tNR3mACA4OBghIeHIy4uDgDg4uKChg0bonnz5hrtJz09HYGBgYiLi0NycjIcHBzg4uICPz8/2NjYaLQvqrwiIyNx+/ZtPHv2DFlZWXB2doarqyv8/PxgamqqsX4KCgpw+fJlxMTEID4+HlZWVqhVqxaaN28ONzc3jfVDpAwmrImIiIiIiN4gyalZ+HTpPkTFpuqkv3uPnmH653uw3v9dONhxUcbKJCYmBgEBAThz5gwuXryIjIwMhdsaGxujR48emD59Ovr166fDKP9TUFCAtWvXYvPmzXj8+LHcbRo0aIDJkydj9uzZ5UoE3rp1C8uWLcPx48eRn58vetzc3Bx9+vSBv78/mjVrpnY/pJpz586hS5cuard3dXVFVFSU5gIqw4EDB7Bu3TpcuXJF7uN2dnYYMWIEli1bBgcHB7X7SUpKgr+/P/bu3YvUVPmfC35+fpg9ezaGDh2qdj9EquCUIERERERERG+I9IyXOk1WvxIVm4pPl+5DesZLnfZL2jNq1Ci4urpi1qxZOHbsWKnJauC/EdgnT55E//798c477yAhIUFHkQLh4eHw9fXFwoULFSarASAiIgILFixA27ZtERERoVZfa9asQZs2bXDo0CG5yWoAyMvLw6FDh9CmTRt8/fXXavVDlVdWVhbee+89DB8+XGGyGgBSU1OxYcMGNG7cGKdOnVKrrxMnTqBx48bYsGGDwmQ1AAQGBmLYsGEYM2YMsrOz1eqLSBUcYU1ERERERPQGKCoqxsI1h3SerH4lKjYVC9ccwo/LR8LYmGOnKrqwsDC59S4uLvDw8EDNmjVRWFiIJ0+e4M6dOygu/r+5zI8ePYqOHTvi/PnzcHJy0mqcz58/R48ePRAdHS2ob9CgARo1agSpVIrQ0FBBIjsoKAg9e/bE1atX4ejoqHRfq1atwuLFiwV1FhYWaNWqFZydnfHs2TPcuHEDubm5AID8/HzMnz8fEokEn332WTmeJVUWRUVFGDFiBI4fPy6or1GjBpo3b47q1avj8ePHuHXrFqRSKQAgISEBAwcOxJkzZ9C+fXul+zp37hwGDRokuLAikUjg4+OD+vXrIz09Hbdu3UJycrLs8V27diEjIwOHDh2CkRHfx0l7mLAmIiIiuU4X7xfV9TAarvS2RERkWPYcuanVOauVce/RM+w9chOjBrXWaxykWc2bN8fEiRPRp08fuLu7ix6Pi4vDsmXL8Ouvv8rqwsLCMHz4cFy4cAESiUQrcRUXF2PQoEGCZLWzszO2bduGnj17CrY9efIkJkyYgOfPnwP4b97gwYMH49KlS0rFd/ToUSxZskRQN3XqVKxcuVIwXUNSUhIWLVqEzZs3y+rmz5+PJk2aoHfv3mo9T1LPzJkz8emnnyq9vYmJ9lNoCxYsECSrTU1NsW7dOkydOhVmZmay+vv372Py5MmyEdh5eXkYNGgQ7t27B2dn5zL7iY2NxZAhQwTJ6nbt2mHTpk3w8vKS1eXl5WHjxo2YO3cuCgoKAABHjhzBkiVLsGrVqnI/XyJFeDmEiIiIiIiokouOTcGWvYH6DgMAsHlvIKJjU/QdBpWTRCJBv379cOPGDQQHB2P69Olyk9XAf6OuN27ciJ9++klQf+nSJezdu1drMe7atQvXrl2Tle3s7BAYGChKVgNA7969ERgYCFtbW1ldYGCgUvEVFRVh7ty5shGvADBr1ixs3LhRNLdwjRo1sGnTJkGiVCqVYs6cOSgqKlLl6VE52djYwM3NTel/tWvX1mo8T548wffffy+o279/P6ZPny5IVgOAt7c3/vnnH7Rt21ZWl5KSgqVLlyrVl7+/P9LS0mRlPz8/nDlzRpCsBv6bb/2TTz7Bvn37BPXr1q0T3bVApElMWBMREREREVVyq346ifz8Qn2HAQDIzy/E6p/Vm2+VDMf+/ftx9OhRtGzZUuk2H330kWjRth07dmg6NAD/JZH9/f0FdevWrYObm5vCNvXq1cO6desEdUuWLBFMZyLP9u3b8ejRI1nZ09MTq1evLrXNmjVr4OnpKSvfv38fu3btKrUNVW5Lly6VjWIGgPHjx2PgwIEKt7ewsMC2bdsEyewtW7bgyZMnpfYTHh6O33//XVY2MzPDtm3bUKVKFYVtBg0ahHHjxsnKeXl5SifHidTBhDUREREREVElFnwvBqFh8foOQyDk0TMEh8ToOwwqh9ISv6X5+OOPBeWzZ89qIBqxS5cuITIyUlZ2cXHBmDFjymz3/vvvw8XFRVZ+/PgxAgNLvzth+/btgvKsWbNgbm5eahtzc3PMnDmz1P3QmyMnJwcHDhwQ1M2fP7/Mdg0bNsSgQYNk5cLCQuzevbvUNrt37xaM5h8yZAg8PDzK7KtkPPv27ZPNx06kaUxYExERERERVWIBp27rOwS5Dp68re8QSA+aN28uKOfk5CA9PV3j/Rw8eFBQHjt2LIyNjctsZ2xsLEpsBwQEKNw+JSUFFy9elJXNzMwwatQopWIcPXo0TE1NZeXz588jNVU/i6KSfp06dQovX76Uldu2bYu33npLqbYTJkwQlEs7XgHxuVGyvSJeXl5o06aNrJydnY2///5bqbZEqmLCmoiIiIiIqJJKTsvCxesR+g5Dros3IpCclqXvMEjH5C1c9/rCb5py8uRJQblz585Kty257YkTJxRue/r0acFo1RYtWqBatWpK9WNtbQ0fHx9ZubCwEKdPn1Y6Tqo8ynO8dujQQXBe3bp1CwkJCXK3ff78Oe7cuSMrm5iYoF27dkr3pcq5QVQeTFgTERERERFVUn+fv4+iotLn39WXwsJi/H3+vr7DIB2LiBBeQDExMREtTFheeXl5on58fX2Vbu/n5ycoh4eHK0yqh4SECMqvL4KnTl+hoaEqtafKoTzHkaWlJZo0aSKoU3QcleynadOmsLS0VLovHq+kK0xYExERERERVVIhBjZ3dUmGNrc2aV/JeXpbtmwJIyPNpiYePXokGPXs6OgIa2trpdtbW1sLkuhFRUUICwuTu+39+8KLLg0aNFApVnd391L3R9pz9uxZDBkyBPXr14eVlRUsLCzg4uKCFi1aYPr06fjzzz8FiyBq04MHDwRlbR1HPF6pomDCmoiIiIiIqJJ69Pi5vkMo1aMn8m9bp8opKysLW7ZsEdQNHjxY4/2UHF1dt25dlfdRsk14eLhW+lK2H9K8Cxcu4ODBg4iMjER2djZyc3Px7NkzBAcH46effsKwYcNQv359/PTTT5BKpVqLIzU1VTR3ubaOo/Ier66uroJySkoK0tLSVNoHkTKYsCYiIiIiIqqE0jNeIiE5U99hlOp5UgZeZOboOwzSkYULF+L58/+7iGJjY4PJkydrvJ+Sizg6OjqqvI+SbV68eKGVvpTth/QjNjYW06dPxzvvvKOVxUEB8TFUtWpVlabpAHR3vFpZWaFKlSpK9UVUHuLVDoiIiIgUOF28X259D6PhSm9LRES68SQmWd8hKOVxdBJ8Gqs+ApYqloMHD+LHH38U1K1cuRJ2dnYa7ysrS7iYp4WFhcr7KNkmM1P+xZ/y9qVsP6Q51tbW6N69Ozp16oRGjRrB0dERFhYWSEtLQ1hYGE6fPo29e/ciNzdX1ubYsWMYNGgQ/v77b5iZmWk0nop0vL5q8/prw2OWtIEJayIiIiIiokroZY5u5l4tr5zcihEnqe/OnTsYO3asoK5nz5748MMPtdJfyaRcyRGhyiiZyCu5T031pWw/VH5OTk7YunUrRo4cqfDv1KpVK4wePRpr1qzBxIkTceLECdlj58+fx4IFC7Bu3TqNxlWRjtdXfb0+DQiPWdIGTglCRERERERUCRUWFpW9kQGoKHGSemJiYtCvXz9BUsvV1RU7d+6ERCLRSQzq9KNubKq209VrQMBbb72F8ePHK5WkdXJywrFjxzB8uPAuwp9++gmRkZHaChGAYR+v5emLSBVMWBMREREREVVCJibG+g5BKRUlTlJdYmIievTogbi4OFmdk5MTTp8+jRo1amitXysrK0E5J0f1edJLtim5T031pWw/pHsSiQTbtm2Ds7OzrC4/P1+0cGh5VaTjVZW+iMqDCWsiIiIiIqJKqKqFqb5DUIpFlYoRJ6kmNTUV3bt3R1hYmKzOwcEBZ86cgYeHh1b7rkgJQCb/DFvVqlXxySefCOpOnjyp0T4q0vGqSl9E5cE5rImIiKjcuMAiEZHhqV/XQd8hKMXdVXsjbUk/Xrx4gZ49e+LevXuyOltbW5w+fRqNGjXSev/Vq1cXlJOSklTeR2JioqBsY2OjsK+nT5+q3Zey/ZD+9O7dGwsXLpSVXz+uNaHk8fry5UtkZ2fD0tJS6X2ocry+TtXjNSsrS5Sw5jFL2sAR1kRERERERJWQjXVV1HSopu8wSuVUwxrVq1mUvSFVGJmZmejduzeCgoJkddbW1jh58iSaNWumkxhKjuCOjo5WeR8l2ygaFV7evpTth/THzc1NUM7Pz8eLFy80tn97e3vY2toK6mJiYlTah76OVzs7O1HsRJrAhDUREREREVEl5enupO8QSuVZv6a+QyANys7ORt++fXH16lVZnZWVFU6cOIHWrVvrLA5PT08YG//f3OiJiYnIzMxUun1GRgaSk5NlZWNjY4UJQC8vL0E5IiJCpVifPHlS6v5I/ywsxBfV1JlKozS6Oo403Y+3t7dK7YmUxYQ1ERERERFRJdW4oXPZG+lRIwOPj5SXk5OD/v3749KlS7K6qlWr4tixY/Dz89NpLObm5nB3dxfUXblyRen2gYGBgrKHhwfMzc3lbtu4cWO1+wGAy5cvl7o/0r/XL168Ym9vr9E+ynMcZWdn4+7du6XuT1H93bt38fLlS6X74vFKusKENRERERERUSXVs5M3jI0N82efiYkRenbi6LzKIDc3FwMGDMC5c+dkdVWqVMFff/2Fjh076iWm3r17C8qvx1aWktv26dNH4bY9evQQjOYOCgpSejR3ZmYmgoODZWUTExP06NFD6ThJN65duyYo16hRA6amml0stjzH68WLF1FYWCgrN2/eHDVryr97xdnZGU2bNpWVCwsLBReZyqLKuUFUHob5zYWIiIgqlB5Gw0X/iIhI/xxsrdChdQN9hyFXh1YN4GBrpe8wqJzy8/MxZMgQnDlzRlZnbm6OQ4cOoVu3bnqLa/DgwYLyjh07UFRUVGa7oqIi7Ny5s9R9vc7BwQHt27eXlfPz87F7926lYty1axcKCgpk5Y4dO8LOzk6ptqQ7Jf+enTt31ngfvXr1Ekw9cuXKFTx8+FCpttu2bROUSzte5T2+detWpfp5+PChIHlvaWmJnj17KtWWSFVMWBMREREREVViQ3o103cIcg3u3UzfIVA5FRYW4t1338WJEydkdaampjhw4AB69eqlx8iADh06oF69erJybGysKBEtz86dOxEXFycru7u7o127dqW2GTt2rKD83XffIS8vr9Q2eXl5WL9+vaBu3LhxZcZHunXu3DkEBAQI6gYOHKjxfqpWrYphw4YJ6r766qsy24WFheHgwYOysomJCUaNGlVqm9GjRwvuCggICEB4eHiZfZWM591330WVKlXKbEekDiasiYiIiIiIKjGfJnUNbq7oxp614NO4rr7DoHIoKirC6NGjcfjwYVmdiYkJ9u7di/79+2u8P4lEIvhX1pQJxsbGWLp0qaBu9uzZiIqKUtgmKioKs2bNEtStWLECRkalp07GjRsHT09PWfnRo0dYtGhRqW0WLlyIR48eycre3t4YPXp0qW2A/0bTvv46uLm5ldmGgL///ht37txRqc21a9cwdOhQSKVSWZ2npydGjBhRZtvOnTsL/k5ffvllmW2+/PJLwVQj27Ztw19//aVw+9zcXEyYMAH5+fmyukmTJonmby/Jw8NDcHEkPz8f48ePR25ursI2hw8fFozkNjMzg7+/f6n9EJUHE9ZERERERESV3KKPe8PMzETfYQAAzMxMsPAj/Y6+pfKbOHEi9u3bJ6hbtWoVmjdvjqioKJX+lZYoK4/Ro0ejTZs2snJqair8/Pzw999/i7Y9deoU2rZti7S0NFmdn5+fUslJY2NjfPvtt5BIJLK6devW4YMPPkBKSopg2+TkZEydOhXfffedrE4ikWDt2rWCUa+kWYGBgWjevDl69+6Nbdu2ITExUeG2T58+xWeffYYOHTogNTVVVm9qaoqff/4ZJibaeS+tX78+Zs6cKagbNmwYfvzxR0FSGgAePHiAbt26CRYItbe3VzqJvHTpUtja2srKgYGB6N69u2gakry8PPzwww8YPlw43d+cOXPg6uqqVF9E6jCMbyxERERERESkNa617TFphB827Lig71AweYQfXGvb6zsMKqft27eL6ubNm4d58+apvK+zZ89qZV5gIyMjHDx4EL6+voiJiQEAxMfHo1evXvDw8ECjRo0glUoRGhqKiIgIQVs3NzcEBAQIktCl6d+/P1asWIHFixfL6n799Vfs2LEDbdq0gZOTE+Lj43H9+nXk5OQI2q5Zs0a06B5pnlQqxalTp3Dq1CkAgIuLCzw9PWFjYwMLCwu8ePECYWFhCAsLE7U1NjbGb7/9hq5du2o1xjVr1iA0NFQ2zU5BQQFmzJiB5cuXw8fHB9WqVcOTJ08QHBwsGPltZmaGgwcPwtlZubtpateujYCAAPTq1UuWDL98+TK8vb3RokUL1K9fHy9evEBwcDCSkpIEbfv374/ly5dr6BkTyceENRERERER0Rtg5Dstcel6BO49eqa3GJp41sKId1rqrX968zg7O+P06dMYOXIkbt26JasPDw9XOG+vj48P9u7di5o1a6rU16JFiyCRSODv7y9bTDEnJ0fh9CWmpqZYvny5Skn+kqPRXx8lS6qJi4sTzFeuSP369bF9+/Yy5zLXBGNjY+zbtw+TJ0/G3r17ZfWJiYk4efKk3DaOjo74/fff0aFDB5X66ty5Mw4ePIjx48fLktJSqRQ3b97EzZs35bZ57733sGnTJt4NQFrHKUGIiIiIiIjeAMbGRli9YBDcatvppX+32vZYs3AwjI35M5R0q2HDhrh27RpWr16N+vXrK9zO3d0dq1evxtWrV9GgQQO1+lq4cCGuXbuGgQMHwszMTO42ZmZmGDhwIK5fv4758+ertP/Xp4AAIJpzm+QbMGAAPvroIzRp0kSpZKuJiQn8/Pzw+++/4/79+zpJVr9iZWWFPXv2YP/+/fD19VW4nZ2dHT788EOEhISoPUK/b9++CAkJwbRp00q9+OHr64sDBw5g9+7dsLS0VKsvIlVIpK/fQ2DgQkND0bhxY1k5JCQEjRo10mNEREREBAA9jIaL6k4X79dDJEREulNYWCgaoenh4aG1+U01JTk1C58u3Yeo2NSyN9YQt9r2WO8/HA52Vjrrk0iRoKAghIWF4dmz/+42qFWrFho2bIgWLVpotJ+0tDQEBgYiLi4OKSkpsLe3h4uLC/z8/NQeGV2nTh3ExsYC+G8BwNDQUI52VVFubi7u37+P6OhoxMfHIzMzEwUFBbCysoKtrS3q1auHli1bomrVqvoOFQAQGRmJ4OBgPHv2DNnZ2XBycoKrqyvatWun8KKIOvLz83H58mVER0fj+fPnsLS0hIuLC5o3b4569epprB/SLG19F9F3Dtawv0kRERERERGRRjnYWeHH5SOxcM0hnUwP0sSzFtYsHIzq1Sy03heRMlq0aKHx5LQ8tra26Nevn8b2FxYWJktWA8AXX3zBZLUaqlSpAh8fH/j4+Og7FKXUq1dPJwljMzMzdOnSRev9ECmD92IRERERERG9YWysq+LH5SPx0fsdYWamnXFMZmYm+Oj9jvhx+Ugmq4k04N9//5X939vbGyNHjtRjNERE2sMR1kRERFRu8qb/kDdNiKJtiYhI94yNjTBqUGu0a+mO1T+fQogGR1s39qyFhR/1gmtte43tk+hN93rC2t/fH0ZGHINIRJUTE9ZERERERERvMNfa9vhl1SgEh8Tg4MnbuHgjAoWFxSrvx8TECB1aNcDg3s3g07iuFiIlenNJpVKcO3cOANC4cWMMHy5/YAARUWXAhDURERERERHBp3Fd+DSui+S0LPx9/j5Cw+Lx6EkCnidlKGzjVMManvVrolFDZ/Ts5A0HWy6qSKQNEokEiYmJ+g6DiEgnmLAmIiIiIiIiGQdbK4wa1FpWTs94iScxycjJLUBhYRFMTIxhUcUU9es6wMa6qh4jJSIiosqICWsiIiIiIiJSyMa6Kqf4ICIiIp1hwpqIiIiISIfkLUjKxUiJiIiIiP7DJWWJiIiIiIiIiIiIyCAwYU1EREREREREREREBoEJayIiIiIiIiIiIiIyCExYExEREREREREREZFB4KKLREREREQ6xAUWiYiIiIgU4whrIiIiIiIiIiIiIjIITFgTERERERERERERkUFgwpqIiIiIiIiIiIiIDAIT1kRERERERERERERkELjoIhEREWmFooXlehgNV3pbIiIiIiIierNwhDURERERERERERERGQQmrImIiIiIiIiIiIjIIDBhTUREREREREREREQGgQlrIiIiIiIiIiIiIjIIXHSRiIiIdEreAotciJGIiIiIiIgAjrAmIiIiIiIiIiIiIgPBEdZERERERESkUGrOS4SlpCA7Px/5xUUwMzKGpZkZGtrbw86iqr7DIyIiokqGCWsiIiIiIiKSSczOwqGHDxD8/BlCEhPwLDNT4ba1qlVDY8ea8HGqhUFvecHR0kqHkRIREVFlxIQ1ERERERER4crTGOy8dwenn0SgsLhYqTbPMjPxLDMTfz+OwLdXLqFH/QYY0+RttK1TV8vREhERUWXFhDUREREREdEb7HFqCuadOYVbz+PLtZ/C4mKciAjDiYgwNHdyxtfde8Hdzl5DURIREdGbgosuEhERERERvYGKiouxMeg6+v+xs9zJ6pJuPY9H/z924tegGyhScrQ2EREREcAR1kRERERERG+c1JyX+ODoYQTFP9NaH3lFhVhz+QJOP4nAxv4DuUAjGYzg4GCEh4cjLi4OAODi4oKGDRuiefPmGu0nPT0dgYGBiIuLQ3JyMhwcHODi4gI/Pz/Y2NhotC+i1+ny2NPV+URvFiasiYiIiIiI3iAJWVl4/+B+RKSl6qS/oPhnGHlgL3YMHo6aVlyUsTL58ssvsXTpUrXbjxs3Dtu2bdNcQKUoKCjA2rVrsXnzZjx+/FjuNg0aNMDkyZMxe/ZsmJqaqt3XrVu3sGzZMhw/fhz5+fmix83NzdGnTx/4+/ujWbNmavdD/3ny5Alu3LiBmzdv4saNGwgODkbma4vFurq6IioqSuX9RkVFoV69ehqLc+vWrRg/frzG9iePro49XZ5P9GbilCBERERERERviNSclzpNVr8SkZaK9w/uR2rOS532SwQA4eHh8PX1xcKFCxUm1wAgIiICCxYsQNu2bREREaFWX2vWrEGbNm1w6NAhuQlDAMjLy8OhQ4fQpk0bfP3112r186Y7d+4cevXqBXt7e7i7u2PkyJH49ttvcf78eUGy2pBYWFhodf+6OvZ0eT7Rm4sjrImIiIiIiN4ARcXF+ODoYZ0nq1+JSEvFB0cPY8/QETA24tgp0o3nz5+jR48eiI6OFtQ3aNAAjRo1glQqRWhoqCDxFhQUhJ49e+Lq1atwdHRUuq9Vq1Zh8eLFgjoLCwu0atUKzs7OePbsGW7cuIHc3FwAQH5+PubPnw+JRILPPvusHM/yzXP79m38/fff+g5DaVWrVkWfPn20tn9dHXu6PJ/ozcaENRERERER0Rtg862bWp2zWhlB8c+w5VYQprZopdc4SDv++OMP+Pr6Kr29lZaniCkuLsagQYMEyTVnZ2ds27YNPXv2FGx78uRJTJgwAc+fPwcAREZGYvDgwbh06RIkEkmZfR09ehRLliwR1E2dOhUrV66Eg4ODrC4pKQmLFi3C5s2bZXXz589HkyZN0Lt3b7WeJ/0fc3Nz1K5du9SRv8qqXbs2IiMj1Wo7ZswYXL58WVYePnw4rK2tyx2TPLo69nR5PhExYU1ERERERFTJPU5NwfqrV/QdBgDgu6uB6FavPtzt7PUdCmmYk5MT3Nzc9B2GzK5du3Dt2jVZ2c7ODoGBgXJj7N27NwIDA9GiRQukpaUBAAIDA7F3716MHDmy1H6Kioowd+5cSKVSWd2sWbOwbt060bY1atTApk2bYGVlhfXr1wMApFIp5syZgx49esDY2FiNZ/pmMjU1RaNGjdCyZUu0atUKLVu2RJMmTXD58mV06dKl3Ps3MTFR63iOi4vD1atXBXWTJk0qdzzy6PLY09X5RARwDmsiIiIiIqJKb96ZU8grKtR3GACAvKJCzD9zSt9hUCVXVFQEf39/Qd26detKTUDWq1dPlOhbsmQJiouLS+1r+/btePTokazs6emJ1atXl9pmzZo18PT0lJXv37+PXbt2ldqG/s+4ceOQkZGBW7duYdOmTZg6dSp8fHwMYnG/bdu2oaioSFb28PBAhw4dtNKXro49XZ5PRAAT1kRERERERJXalacxuPU8Xt9hCAQ/j8fV2Kf6DoMqsUuXLgmmc3BxccGYMWPKbPf+++/DxcVFVn78+DECAwNLbbN9+3ZBedasWTA3Ny+1jbm5OWbOnFnqfkgxW1tbVKlSRd9hiEilUmzdulVQp63R1YDujj1dnk9EABPWRERECvUwGi76R9pxuni/6J+8159/AyIi1e28d0ffIci18+5tfYdAldjBgwcF5bFjxyo13YaxsbEoERcQEKBw+5SUFFy8eFFWNjMzw6hRo5SKcfTo0YIRwefPn0dqqn4WRSXNOH/+vGD+bBMTE4wbN04rfeny2NPV+UT0ChPWRERERERElVRidhZOP4nQdxhynX4SgcTsLH2HQZXUyZMnBeXOnTsr3bbktidOnFC47enTpwXTP7Ro0QLVqlVTqh9ra2v4+PjIyoWFhTh9+rTScZLh2bJli6Dcr18/ODk5aaUvXR57ujqfiF5hwpqIiIiIiKiSOvTwAQoNdL7QguJiHHr4QN9hUCWUl5eHiAjhhRpfX1+l2/v5+QnK4eHhyM/Pl7ttSEiIoNy2bVul+5HXV2hoqErtyXC8ePECf/75p6BOm9OB6OrY0+X5RPQKE9ZERERERESVVPDzZ/oOoVSGNrc2lc/GjRvRvXt3uLi4oEqVKqhWrRrc3NzQqVMnLF68WDB9gTY9evRIMPLU0dER1tbWSre3traGg4ODrFxUVISwsDC5296/f19QbtCggUqxuru7l7o/qjj++OMP5OTkyMrOzs7o06eP1vrT1bGny/OJ6BUmrImIiIiIiCqpkMQEfYdQKkOPj1SzZ88e/PPPP3j27Bny8vKQlZWF6OhoXLhwAatWrULHjh3RqlUrnDlzRqtxlBwNWrduXZX3UbJNeHi4VvpSth8yfCWnAxk3bhxMTEy01p+ujj1dnk9Er2jvzCEiIqrgThfv13cIbzRFr7+8hRf5tyIiEkvNeYlnmZn6DqNUcZkZSMvJga2Fhb5DIR25efMmevbsiYULF2LFihWQSCQa7yM9PV1QdnR0VHkfJdu8ePFCK30p2w8Ztnv37uHmzZuCOm1OBwLo7tjT5flE9AoT1kRERERERJVQWEqKvkNQyqOUZPjWrqPvMKgcXFxc0LdvX7Ru3RpeXl6ws7ODkZERUlJSEBwcjKNHj+LUqVOy7aVSKVatWoXi4mKsXr1a4/FkZQkX87RQ44JIyTaZCi7+lLcvZfshw1ZydHWnTp1UnqJDVbo69nR5PhG9woQ1ERERERFRJZRdQRa1yi6oGHGSWOvWrXHq1Cn06NFD4UhpPz8/TJ8+HTdv3sSoUaMEUwGsWbMGvr6+GDhwoEbjKplgq1Klisr7KJlgK7lPTfWlbD9kuPLz87Fz505BnbZHVwO6O/Z0eT4RvcI5rImIiIiIiCqh/OKisjcyAAVFxfoOgdTUt29f9OzZU6lpPVq2bImrV6+iYcOGgvoFCxYIFnTTBnWmHVF3qhJV22ljShTSrcOHDyPltTtaqlevjmHDhuk8Dl0de7o8n+jNxYQ1ERERERFRJWRmZKzvEJRiasyfpW8KOzs7/PHHH4Lk1cOHD3H27FmN9mNlZSUo5+TkqLyPkm1K7lNTfSnbDxmuktOBjBo1Sq1pM1Slq2NPl+cT0SucEoSIiIgqFC6wSG86eQuPKpIzuI2ozuLgNbnb8tyqfCzNzPQdglIsTStGnKQZPj4+6Nmzp2BO65MnT6J79+4a60PXCeu0tDS1+2Iir2J7+vQpTp8+LajTxXQggO6OPSasSR94KZuIiIiIiKgSamhvr+8QlOJp76DvEEjHevfuLSjfvXtXo/uvXr26oJyUlKTyPhITEwVlGxsbrfSlbD9kmLZt24bi4v+b1ujtt99GixYtdNK3ro49XZ5PRK8wYU1ERERERFQJ2VlURa1q1fQdRqlcqlnDVge3zpNhcXNzE5TVSYCVxsPDQ1COjo5WeR8l25Tcp6b6UrYfMjxSqRRbt24V1OlqdDWgu2NPl+cT0StMWBMREREREVVSjR1r6juEUhl6fKQdJef3VWeKgdJ4enrC2Pj/5nBPTExEZmam0u0zMjKQnJwsKxsbGytMsHl5eQnKERERKsX65MmTUvdHhuvff/9FZGSkrGxubo7Ro0frrH9dHXu6PJ+IXuEc1kRERFThtR/6raju0p9z9RAJkWapMl91eeegHnddPCrs99Zb5GxJFYmPUy38/Vi1JIYuNXdy1ncIpAevJ68AwMFBs9PCmJubw93dHWFhYbK6K1euoGfPnkq1DwwMFJQ9PDxgbm4ud9vGjRsLyleuXFEp1suXL5e6PzJcv/32m6A8ZMgQ2NnZ6ax/XR17ujyfiF7hCGsiIiIiIqJKatBbXjAxMsyffaZGRhj0FkeTvomuXRMu/lqrVi2N91Fynuxz584p3bbktn369FG4bY8ePQSjT4OCgpQefZqZmYng4GBZ2cTEBD169FA6TtKf9PR0BAQECOp0OR0IoNtjT1fnE9ErhvnNhYiIiIiIiMrN0dIKPeo30HcYcvWo3wCOllb6DoN0LDc3V5To69y5s8b7GTx4sKC8Y8cOFBUVldmuqKgIO3fuLHVfr3NwcED79u1l5fz8fOzevVupGHft2oWCggJZuWPHjjodoUvq27VrF3Jzc2VlNzc3dO3aVacx6PLY09X5RPQKE9ZERERERESV2Jgmb+s7BLnGNG2m7xBID7766ivExcXJysbGxujXr5/G++nQoQPq1asnK8fGxooSZ/Ls3LlTEJ+7uzvatWtXapuxY8cKyt999x3y8vJKbZOXl4f169cL6saNG1dmfGQYSk4HMnHiREgkEp3HoatjT5fnExHAhDUREREREVGl1rZOXYObK9rHyRm+tevoOwwqhx07diAhIUGlNps2bcLSpUsFdePHj4erq2uZbSUSieBfWVMSGBsbi/qaPXs2oqKiFLaJiorCrFmzBHUrVqyAURnT6owbNw6enp6y8qNHj7Bo0aJS2yxcuBCPHj2Slb29vZVasG/btm2C18HNza3MNqRZt2/fFkynYWRkhPHjx5d7v19++aXgb6vMnQe6OvZ0eT4RAVx0kYiIiCoBeQss6nKxOqLykrdwKABc0uGxyQUWK7evu/dC/z92Iq+oUN+hwNzYBF9176XvMKictmzZgg8++ADDhw/Hu+++i86dO8PS0lLutjdv3sSqVatw8OBBQb2LiwtWrFihtRhHjx6Nn376STZndmpqKvz8/LBt2zbRgnGnTp3C+PHjkZaWJqvz8/PDiBEjyuzH2NgY3377LQYMGACpVAoAWLduHbKysrBq1SrY29vLtk1OTsaiRYuwadMmWZ1EIsHatWsF8xFT2WJjY1FYKH5Pe/78uaBcWFioMLFqZWWl8qKfW7YIPy979eqFOnX0cwFOl8eers4nIoAJayIiIiIiokrP3c4en/q2xVeXL+o7FMzy9YO7nX3ZG5LBy8nJwfbt27F9+3YYGRnBw8MDbm5uqF69OoyNjZGSkoI7d+7IHYltZ2eHkydPwsnJSWvxGRkZ4eDBg/D19UVMTAwAID4+Hr169YKHhwcaNWoEqVSK0NBQRERECNq6ubkhICBA6Wke+vfvjxUrVmDx4sWyul9//RU7duxAmzZt4OTkhPj4eFy/fh05OTmCtmvWrBEtakdla9++PaKjo8vcLi4uTjCdxevGjRuHbdu2Kd1nXl6eaJ5oXS+2WJKujj1dnk9ETFgTERERERG9ASY3b4kzTx4jKP6Z3mJo4VwLk5q30Fv/pD3FxcV49OiRYKoBRbp164Zt27ahdu3aWo/L2dkZp0+fxsiRI3Hr1i1ZfXh4OMLDw+W28fHxwd69e1GzZk2V+lq0aBEkEgn8/f1lC9rl5OQonL7E1NQUy5cvx7x585Tu4/WF/gDA1tZWpRipfA4ePIjU1FRZuUaNGhgwYIAeI/qPLo49QLfnE73ZOHEMERERERHRG8DYyAgb+w9EA1s7vfTvYWePX/sPgjHnL60UZs6ciVGjRik1/zQAWFpaYvDgwThz5gzOnDmjk2T1Kw0bNsS1a9ewevVq1K9fX+F27u7uWL16Na5evYoGDRqo1dfChQtx7do1DBw4EGZmZnK3MTMzw8CBA3H9+nXMnz9fpf0HBgYKyiXnCCbtKjkdyPvvvw9TU1M9RSOk7WPvFV2eT/TmkkhfTXJTAYSGhqJx48ayckhICBo1aqTHiIiIiMhQcQ5rqkgUzmEtZ352MhyFhYWiEWUeHh4wMTHsG1kTsrLw/sH9iEhLLXtjDfGws8f2QcNQ08pKZ32S7qSnpyM0NBRPnz5FQkICXr58ieLiYtjY2MDW1hZeXl5o2rSpwczRHBQUhLCwMDx79t/dBrVq1ULDhg3x/9i783A7qjJv2M/JSCAECMiQIGASwJA4AC0JgYCtRNT2a6ARHEDDJKh0I4KCgq+A+ArYgDjQfqAIiKCMQe0GEVQQCAkymzBlYBAOYUgYkpA5+/sjH6fZ2auSquyz965zzn1fV67LWqmqtWrePinqt+uunfv2/6uvvhqTJ0+O559/PubOnRubbrppDB06NMaNG7fOb0a/853vjOeeey4iInbccceYPn16afYr5dGIcy9Ls64n0hr1W6TVNVgFawAAKKnUP7z4B5by6KoF64iIeYvejGP++7dN+TzIrlsNiYs/sX9sMmBAw/uC7uzJJ5+MHXfcsWP6yiuvjM9+9rMtHBHQat21YO2/xQIAAOhhBg9YP35z4KfiG3vsFf17N6bA3r93n/jGHnvFbw78lGI1dII///nPHf97p512ik9/+tMtHA1A45T/n/4BAADodL179Yqjd/1AfPhdw+Lk226JB+a80Gnr3mXLreKcffaN4YM37bR1Qk/39oL1aaedFr18Dx7ophSsAQAAerDhgzeN6w7+bEx57h/xq0ceiltnz4xlK1cWXk/fXr1iwrARceh73x9jt35nA0YKPVelUonbb789IiJGjx4dBx2UP6sDoKtRsAYAACDGbv3OGLv1O+OlhQvixscfiwfnvBDTXnoxnp//RuYyQzccFKM33yJ23nKr2P/dI2PzDYQqQiO0tbXFSy+91OphADSFgjUA0KOkQuyyCLcDeqLNNxgYR+/6gY7peYvejCfnzo2Fy5bGshUro2/vXrFB336xw6abxuAB67dwpABAd6RgDQAAQKbBA9aPsVsrTAMAzeEL/QAAAAAAlIKCNQAAAAAApaBgDQAAAABAKfiGNQDQowhSBAAAKC9vWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKQhdBADIMKHXQTVtQhtphNS5BgAAPZE3rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAgBkSAUsCmKkmZxbAAD0NN6wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKwTesAQAAyDR/2fx4btHzsXjF4lheWR592vrEer3Xi60HDI0N+27Y6uEBAN2MgjUAQJ1SQYwRAvNIa1Rwp0BQOstrS1+LyXOnxMwFs+LphU/H3KXzMufdtN/g2G6D7WLEwOExbtOxsXG/jZs3UACgW1KwBgAAIB574/H404t/jgdeeyhWVFbkWmbu0nkxd+m8uP/VB+K6526IXTZ+f3x4iw/FyEHvbvBoAYDuSsEaAACgB2tf9EL8fPYvYtbC2XWtZ0VlRfzt1fvjb6/eH8M3GBZHDTsihgzYqpNGCQD0FEIXAQAAeqCVlZXxPy/cHN+edkbdxerVzVo4O7497Yy46YU/xMrKyk5dNwDQvXnDGgAAoIeZv2x+XDDjJzFzwcyG9bGssiyu/se1cf+rD8bx2/+7gEa6tKeeeioeeuihaG9vjwULFsRWW20V2267bYwbNy769u3baf0sW7Ys7r777nj22WfjhRdeiIEDB8aQIUNi5513ju22267T+qE+jtP/euCBB2LGjBnx/PPPR0TE0KFDY4cddoidd965U/t57bXXYvLkyfH888/HK6+8EptttlkMHTo0xo0bFxtvvHGn9kXrKVgDABRQJMROCB5QRq8ufTW+//h50b74hab0N3PBzPjeY+fESe8+MTbpt0lT+mTdLV++PKZPnx5/+9vf4r777ou//e1v8fe//z2WLVvWMc/EiRPjsssuK7zuyy67LA4//PBOG+tTTz3V8OLgddddF+eff37cc889yb8fPHhwfOpTn4rvfOc7sdlmm61zPy+//HKcdtppcfXVV8e8eemg03HjxsUJJ5wQBx544Dr30x3Nnj276nx94IEHYv78+R1/v+2228bTTz/dKX2V4Th9+tOfjquvvrqqrTO3MY9ly5bFeeedFz//+c9j1qxZyXlGjBgRRx11VJxwwgl1/aPOgw8+GN/5znfipptuiqVLl9b8ff/+/eNjH/tYnHbaafH+979/nfuhXBSsAQAAeoj5y+Y3tVj9lvbFL8T3Hz8vThl5sjetS+qnP/1pXHHFFfHQQw/FokWLWj2cXAYMGNCwdS9YsCC+8IUvxG9+85s1zjdv3rz46U9/GjfccENcfvnlse+++xbu6+abb47DDjssXnrppTXON3ny5Jg8eXIccsghcdFFF8UGG2xQuK/u4vbbb4+zzjor7rvvvszCcWcrw3H63e9+V1OsbrYZM2bEpz/96XjggQfWON/MmTPjG9/4Rlx77bXxm9/8JkaMGFG4r7PPPju+/e1vV/2D2eqWLFkSN954Y9x0001x5plnxkknnVS4H8pHwRoAAKAHWFlZGRfM+EnTi9VvaV/8Qlww4ydx6siTo1ebOKWyueWWWzLfIi6jPfbYI7bYYouGrHvFihXxqU99Km666aaq9ne84x2x8847x0YbbRSzZs2KBx98MCqVSkREvPjii7HffvvFbbfdFnvuuWfuvm6//fbYf//9q94cbWtri1122SWGDRsWr732Wjz44IPxyiuvdPz9lVdeGW+88UbceOON0atXz7yWHnroofjjH//YtP7KcJxee+21+NKXvlT3euoxZ86cmDBhQjzzzDNV7SNGjIhRo0ZFpVKJ6dOnV711ff/998dHPvKRmDJlSmy++ea5+/re974Xp556alXbgAED4gMf+EBstdVW0d7eHn/7299i8eLFERGxdOnSOPnkk6OtrS2+/vWv17GVlEHPvLMBAAD0MDfPuaWh36zOY+aCmfGHOc0rMlG/jTfeOIYOHdop6/rkJz8ZTz31VOE/jz/+eM1bqkcddVSnjCnlG9/4RlWxum/fvvHjH/84nnvuubjlllvimmuuifvvvz+mTZsWu+++e8d8S5Ysif333z9eeCHfPwo999xz8W//9m9VRdA99tgjpk+fHvfdd19cc8018cc//jGee+65+OEPf1j1WYXf//738a1vfasTtrZ76d+/fwwfPrxT11mW43TiiSdGe3t7RERsuGHz/0uVlStXxv77719VrN5qq63illtuiRkzZsSNN94Yv/3tb2PmzJlx8803x5Zbbtkx31NPPRUHHHBAxz/wrM1///d/1+y3o48+Op599tm444474je/+U389a9/jWeffbbmXnDyySfHH/7whzq2lDJQsAYAAOjm2he9EJOe+22rhxERETc8d2O0L2rNW96s2cCBA2P8+PHx1a9+Na666qp48sknY968eZ1WHB44cGBst912hf88+OCDsXDhwo71bLjhhnHQQbU5EZ1h9uzZ8cMf/rCq7dprr41///d/j379+lW177TTTvGnP/2pqmg9d+7cOOOMM3L1ddppp8Wrr77aMT1u3Li47bbbYuTIkVXz9e/fP4477ri45pprqtrPP//8mjdde5K+ffvG+9///jjqqKPioosuivvvvz/mz58fP//5zzu1nzIcp9tuuy1+8YtfREREnz594jvf+U5d61sXV155ZUydOrVjevDgwTF58uT4yEc+UjPvRz/60Zg8eXJsssn/5hZMnjw51+dMVqxYEV/72teqittf/epX46KLLqr5Tvw73vGO+NnPfhbHH398R1ulUokTTzwxVqxYUWTzKBmfBAEAaBABi6TUe16kwjxhbX4++xexrJL9DdBmWlZZFpc8dWn8n51OafVQeJuLLroo3vGOd5TyExOXXHJJ1fSnP/3phn2/+Ywzzqj6Xu5hhx0W++23X+b8AwYMiMsuuyze8573dLyBe8kll8RJJ50Uw4YNy1xuxowZcfnll3dM9+vXLy677LJYb731MpfZf//9Y+LEiR3LLVmyJM4444yOQmZPMnHixPjiF7+4xv3VGcpwnBYuXBhf+MIXOqZPOOGEpocLrlixIk477bSqtvPPP3+Noafvete74vzzz68KWv3Wt74VBx988BrvM7/85S/jiSee6Jjecccd46yzzlrj+M4+++y4+eabO5Z79NFH48orr4zPf/7za1yO8irfkwgAAIBO89gbj8eshbNbPYwqMxfMisfeeLzVw+Bttthii1IWq5955pn485//XNV25JFHNqSvRYsWxXXXXVfVdvLJJ691uR122CH233//junly5fHVVddtcZlrrrqqqo3QP/t3/4ttt9++7X2tfp4rrnmmo5v+PYkm2yyScOL1RHlOE7f/OY34+mnn46IiGHDhsXpp5++Tuupx1133RVPPfVUx/TQoUPj0EMPXetyn/vc56o+KTRr1qyYPHnyGpf55S9/WTX91a9+Nfr377/GZfr37x9f+cpX1rgeupbyPY0AAADoNH968c9rn6kF/vTSX1o9BLqASy+9NFauXNkxPXr06BgzZkxD+rrlllvizTff7Jjefffd493vfneuZd/+FmlExA033LDG+SdNmrTG5bOMHDmyavsXLlzY1PDBnqbVx2ny5Mlx4YUXdkxfdNFFMWDAgMLrqdfq++Hzn/989O7de63L9e7du6awvaZrY+7cuXHnnXd2TPfr1y8++9nP5hrjIYccUvX98DvuuCPmzZuXa1nKR8EaAACgm3pt6WvxwGsPtXoYSQ+8+mC8tvS1Vg+DEqtUKnHZZZdVtTXq7eqIqAlq++AHP5h72fHjx0efPv/71dUHH3wwXnzxxeS8c+bMiYcffrhjuk+fPrHHHnvk7mv1cd188825lyW/Vh+nJUuWxBFHHNHxDzYTJ06MffbZp9A6Oks910aR/XDrrbdWvdG+66675g6YHDRoUOyyyy4d08uXL49bb7019zgpFwVrAACAbmry3CmxolLO4KkVlRUxee6UVg+DErvtttuqwur69euX6zME62ratGlV028PU1ybDTbYIN7znvdUtU2fPj1XP+9973sLfZN73LhxufqhPq0+TqeffnrHN5nf8Y53xHnnnVdo+c6yZMmSmDlzZlXb2LFjcy+/+n6YMWNGx/feV1fPNZjqy7XRdQldBACABkkFJDYqjFPIJykzF8xq9RDWaFbJx0drrR62uN9++8Vmm23WsP4ee+yxqukRI0YUWn748OHx4IMPdkw/+uij8aEPfahmvkcffbTufta0PjpHK4/TAw88EOeee27H9AUXXBCbbrppof47yxNPPFH11vPmm28egwYNyr38oEGDYrPNNotXXnklIlYFOD755JMxevTomnldG7zFG9YAAADd1NMLn271ENbo6YXPrH0meqR58+bFjTfeWNXWyM+BzJs3r+Z7t9tss02hdaw+/4wZM5Lzrf62atF+tt1226rpuXPnxquvvlpoHaxdq47T8uXL44gjjojly5dHRMRHP/rR3N9xboR690NqmUZdG3n7ofwUrAEAALqh+cvmx9yl5Q6cemXp3FiwbEGrh0EJXXnllbFkyZKO6W222SYmTJjQsP5ee+21qun111+/0OcfIla9efp2r7/+eq6+Vl9ubQYOHBjrrbderr5Yd606TmeffXbHt7M32GCD+OlPf1qo385W735ILdOoayNvP5SfgjUAAEA39Nyi51s9hFz+sei5Vg+BEvrFL35RNX344YdHr16NK2EsWFD9DycDBgwovI7Vl5k/f37L+2LdteI4Pfroo/Hd7363Y/rMM8+M7bbbrnC/nakrXRuui+5DwRoAAKAbWrxicauHkMuSFUvWPhM9yv333x8PPfRQx3RbW1scfvjhDe1z9ULZ6m/G5rF6sWz1dbaiL9Zds4/TypUr48gjj+z4Lwt23XXXOO644wr32dm60rXhuug+hC4CAECD1BuEuOeB59a0Zb1rtHLODjVtvbZ8sq7+6dqWV5a3egi5dJVx0jyrv129zz771HwPuNHa2tqaskyz+2LdNfo4/fCHP4wpU6ZERESfPn3i5z//efTu3btwn41W5mvDddF9eMMaAACgG+rT1jXeT+oq46Q5Fi9eHFdddVVVWyPDFt8ycODAqulFixYVXsfqy6y+zlb0xbpr5nGaPXt2fOtb3+qYPuGEE+L9739/4f4aoStdG66L7kPBGgAAoBtar3fx/2y7Ffr37t/qIVAi119/fVXw2qabbhr7779/w/vtSkW5In2x7pp1nCqVSnzhC1+IN998MyIihg0bFqeffnrhvhqlK10brovuQ8EaAACgG9p6wNBWDyGXdw7YutVDoERW/xzIoYceGv37N/4fNTbaaKOq6TfffDMWLlxYaB0vvfRS1fTGG2+cq6+XX365UD8LFiyoKcxl9cW6a9Zx+tnPfhZ//vOfO6YvuuiidQo2bJR690NE866NvP1Qfv7bKwAAgG5ow74bxqb9BsfcpfNaPZRMm/XbNAb29QYcqzz11FPxl7/8paqtGZ8DiVj1Jvcmm2wSr776akfbs88+GyNHjsy9jmeeeaZqevvtt0/Ot3r76ssV7Wfw4MGxySabFFoHa9es43Taaad1/O+Pf/zjMWLEiHj66afXuO45c+ZUTS9fvrxmmSFDhkS/fv0KjTml3v2QWmZN18a0adPWua+8/VB+CtYAAFCnCb0OSrbXG7p41/Vfq2t52G6D7UpdsN5ug+YG6VFuv/jFL6JSqXRMf+ADH4j3vOc9Tet/5MiRMXny5I7pmTNnFipYz549u2Z9Wf283cyZMwuMsrafnXbaqdDy5NOs4/T2t7BvuummeNe73lWon4iI559/vma5Bx98sFO+g73jjjtG7969Y8WKFRGx6i3m+fPnx4Ybbphr+TfeeCNeeeWVjunevXtnFpJHjhwZkyZN6piud58XuX4pF58EAQAA6KZGDBze6iGs0fCSj4/mWblyZVx++eVVbUcddVRTxzB69Oiq6XvuuSf3sgsXLoxHHnlkjevLan/kkUc6vl+cx913352rH+rjOK3Sv3//GD68+l5d5Np4+z8CRax66znrMz/1XIMR3Wefo2ANAADQbY3bdGz0buvd6mEk9W7rHeM2HdvqYVASf/zjH+Mf//hHx/T6668fn/70p5s6ho9+9KNV07fffnvuZe+8885Yvnx5x/TOO+8cW2yxRXLerbbaKt773vd2TC9fvjzuuuuu3H2tPq6PfexjuZclP8fpf9VzbRTZDxMmTIjevf/3mXX//ffH/Pnzc/Uzf/78eOCBBzqm+/TpExMmTMg9TspFwRoAAKCb2rjfxrHLxu9v9TCSdtlk59i438atHgYlcckll1RNH3TQQTFo0KCmjmHfffetCru755574vHHH8+17GWXXVY1fcABB6xx/tX//tJLL83Vz+OPPx5Tp07tmN5ggw3iIx/5SK5lKa4Zx+m1116LSqVS6M/q33rfdttta+bpjM+BvGX1/XDFFVd0fCJkTVasWBG/+tWv1riut9tss81izz337JheunRpXHXVVbnGeOWVV8ayZcs6pvfaa68YPHhwrmUpHwVrAACAbuzDW3yo1UNI+vDm/9zqIVASc+fOjd/97ndVbc0KW3y79ddfPz75yU9WtZ1zzjlrXe7JJ5+s+u5unz594rOf/ewalznkkEOq3iS94YYbYsaMGWvta/XxHHzwwbHeeuutdTnWjeO0yvjx46u+kf3cc8/VFKJTfvWrX8Xzzz/fMT18+PDYY4891rjM5z//+arpH/zgB7FkyZI1LrNkyZK44IILqtomTpy41vFRXgrWAAAA3djIQe+O4RsMa/UwqowYODxGDnp3q4dBSVxxxRWxdOnSjukddtghxo8fX/d6P/jBD0ZbW1vHn9NPP32ty5x++unRt2/fjunLLrusppj+dosXL47DDz+8avxHHnlkzTd/V7f99ttXFdSWLl0ahx12WCxevDhzmd/+9rdVb3L369cvTjvttDX2ExHx9NNPV+2Htra2ePrpp9e6HM09Ts20+vmwtk989O7dO84444yqthNOOGGN59HTTz8dX/3qV6vavvvd70avXmsuRU6cODF23HHHjuknnngiTjnllDUu881vfjOeeOKJjumddtopDjnkkDUuQ7kpWAMAAHRzRw07Ivq29V37jE3Qt61vHPmuw1s9DFazfPnyePrpp5N/Xnvttap5FyxYkDnvggULCvf9i1/8omq6FW9Xv2XYsGHxla98partk5/8ZPzkJz+pKkpHRDz22GPx4Q9/uCpUbtNNN81dnDzjjDNik0026ZiePHly7LPPPjWfIVmyZEn8+Mc/joMOOqiq/cQTT4xtt902V1/d0XPPPZc8B+fMmVM135rO7VdeeWWt/ThOqxxyyCExZsyYjul58+bFuHHj4o9//GPNvLfcckvsvvvu8eqrr3a0jRs3Lj71qU+ttZ/evXvHueeeG21tbR1t559/fhxzzDExd+7cqnlfeeWVOProo+MHP/hBR1tbW1ucd955VW/G0/X0afUAAAAAaKwhA7aKA7beL675x3WtHkr829b7x5ABW7V6GKzmueeeq/pP/tfk+uuvj+uvvz75d5deemkcdthhufu999574+9//3vHdJ8+fWo+CdBsZ599dkyfPj1uvvnmiIhYtmxZ/Md//EeceeaZscsuu8SGG24Ys2fPjgceeCAqlUrHcv369YtJkybFVlvlO7+33nrruOGGG2LfffftKIbffffdsdNOO8Wuu+4aw4YNi9dffz0eeOCBePnll6uW/cQnPhFnnnlmJ21x17TnnnvGM888s9b5nn/++cxze+LEiTXfH1+d47RKr169YtKkSTF27Nh49tlnIyLihRdeiH333Te23377GDVqVFQqlZg+fXrMnDmzatntttsubrjhhqoi9Jp84hOfiO9+97tx6qmndrRdfPHFccUVV8SYMWNiyy23jBdeeCHuvffeWLRoUdWyZ599dk1IJF2PgjUAAEAP8LEt940HXn0oZi6YufaZG2TEwBHx0S0FxPG/Vn+7+l/+5V9iyy23bNFoVundu3dcc801cdRRR8XVV1/d0f7SSy/FH/7wh+Qym2++eVx++eWFP2XywQ9+MCZNmhSHHXZYR7GzUqnEfffdF/fdd19ymc985jPxs5/9LPcbpKt/vqJPnz4xcODAQuPs6ZpxnLqCrbbaKm699db49Kc/HQ8++GBH+4wZMzK/7b3LLrvE1VdfHVtssUWhvk455ZRoa2uL0047rSNMcdGiRZmfL+nbt2+ceeaZcdJJJxXqh3LySRAAAIAeoFdbrzh++3+PIeu15u3mIQOGxFe3/4/o1eb/hrLKokWL4te//nVVWys/B/J2AwcOjN/85jdx7bXXxtixYzPnGzx4cHzpS1+KadOmrfNbnR//+Mdj2rRp8cUvfrHq0xOrGzt2bFx33XVx1VVXxQYbbJB7/W//ZElExOc+97nYbLPN1mmsPVmjj1NXscMOO8TUqVPjrLPOimHDsvMRhg8fHmeddVZMmTIlRowYsU59ffOb34ypU6fGfvvtF/369UvO069fv9hvv/3i3nvvjZNPPnmd+qF82ipv/+9XSm769OkxevTojulp06bFqFGjWjgiAAB6mgm9Dqppu3XltS0YCa22fPnymjfKtt9+++jTp9z/IeurS1+N7z9+XrQvfqFpfQ4ZMCRO2vGE2KRfdpEHyuypp56KBx54INrb22PhwoWx5ZZbxrbbbht77LFHZiFtXSxdujTuvvvueOaZZ2LOnDmxwQYbxNChQ2PnnXfO/cmW1R166KFx5ZVXRsSqt1CfeOKJdV4XqzTiOHVV999/fzz55JPR3t4eERFDhgyJHXbYIXbddddO7efVV1+NyZMnx/PPPx9z586NTTfdNIYOHRrjxo1b4z8gdHeN+i3S6hpsuX9JAQAA0Kk26bdJnDLy5Lhgxk+a8nmQEQNHxFe3/48Y2NcnCOi63vWudzWlENmvX7/453/+505d51/+8peO/33YYYf1uIJqIzTiOHVVu+66a6cXp1M22WST+Jd/+ZeG90M5+G+xAAAAepgN+24Yp448OT71zoOib1vfhvTRt61vfOqdB8WpI09WrIYWefzxxzvefO3Xr19861vfavGIANbOG9YAAAA9UK+2XvHxrT4a79/4fXHJU5fGzAWzOm3dIwYOjyPfdXgMGdCa72UDq/z5z3/u+N9HHnlkbLPNNi0cDUA+CtYAAAA92JABW8X/2emUeOyNx+NPL/0lHnj1wVhRWVF4Pb3bescum+wcH978n2PkoHc3YKRAUW99DqR///5xyimntHg0APkoWAMAABAjB707Rg56d7y29LWYPHdKzFowK55e+Ey8snRu5jKb9ds0tttg2xg+cHiM23RsbNxv4+YNuIt48r7aN9d3+KfhLRgJPdG11woFBroeBWsAAAA6bNxv4/j4Vh/tmJ6/bH48t+j5WLJiSSyvLI8+bX2if+/+sfWAobFh3w1bOFIAoDtSsAYAACDThn03jJF9feIDAGiOXq0eAAAAAAAARChYAwAAAABQEj4JAgAAAA0iYBEAivGGNQAAAAAApaBgDQAAAABAKShYAwAAAABQCgrWAAAAAACUgtBFAAAoYNEBY1o9BAAA6La8YQ0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApSB0EQAACrjr+q+1eggAANBtecMaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpB6CIAABSw54Hn1rQJYqQ7q6ycF7FsRkRlYUQsi4i+EW0bRPTdPtp6DW718ACAbkbBGgAAgA6VFS9FLP5dVJY+GLFsesTK9ux5ew2J6Dsq2vrtHLHev0Zb782bOFIAoDtSsAYAACAqS6ZE5c2rIpbcFhHL8y20sj1iSXtUltwaMf/8qPTfJ9rW/2y09R/b0LECAN2XgjUAAEAPVlk+KyqvfzNi2UN1rml5xJI/RGXJH6LS9/3RttFZ0dZneGcMEQDoQYQuAgAA9ECVyoqoLPhZVF7ZvxOK1atZ9lBUXtk/Kgt/HpXKis5dNwDQrXnDGgAAChCwSHdQWTkvKq9+OWLZAw3sZUlU5n8/YvFtEZv8V5cNaHzyvlk1bTv8kzfH1+Spp56Khx56KNrb22PBggWx1VZbxbbbbhvjxo2Lvn37tnp4TfPaa6/F5MmT4/nnn49XXnklNttssxg6dGiMGzcuNt54407t64EHHogZM2bE888/HxERQ4cOjR122CF23nnnTu2n0ebNmxePP/54/OMf/4gXX3wxFi5cGBERG220UWyxxRax8847x7Bhwzq1z2Ydp+effz7uueeeePHFF+P111+PzTbbLIYMGRJjxoyJd7zjHZ3Wz7Jly2Lq1Kkxc+bMePnll6NXr14xZMiQGD58eHzgAx+Itra2Tuur7JYtWxZ33313PPvss/HCCy/EwIEDY8iQIbHzzjvHdttt16l9ue91LgVrAACAHqSy4sWozDssYkVtIbYhlj0QlbmHRAy+LNp6b9GcPomIiIULF8aDDz4Yf/vb3+K+++6Lv/3tbzFz5syoVCod81x66aVx2GGHdUp/1113XZx//vlxzz33JP9+8ODB8alPfSq+853vxGabbdYpfb7d3//+99h1111j2bJlVe2duY15PPjgg/Gd73wnbrrppli6dGnN3/fv3z8+9rGPxWmnnRbvf//717mfZcuWxXnnnRc///nPY9as9PU8YsSIOOqoo+KEE04oZdFswYIF8ZOf/CTuueee+Nvf/hYvvPDCWpfZeuut4/Of/3wcd9xxscUW635PacZxWrlyZfz617+O73//+/HII48k5+ndu3d86EMfipNOOin22WefdeonIuKZZ56J7373u3H11VfH/Pnzk/MMHTo0Dj300Dj11FNjww03XOe+srz55pvxnve8J2bPnl3VPnHixLjssss6vb8sL7/8cpx22mlx9dVXx7x585LzjBs3Lk444YQ48MAD6+qr1fe97sonQQAAAHqIysp5zS1Wv2XFrKjMOywqK9OFAzrXl7/85XjPe94TG220UYwfPz5OOOGEuOqqq2LGjBlVxerOsmDBgvjMZz4TBx10UGbRJmLV27M//elPY/To0XHLLbd06hhWrFgRRxxxRE2xutnOPvvsGDNmTNx4443JImhExJIlS+LGG2+MMWPGxPe///116mfGjBkxduzY+OY3v5lZrI6ImDlzZnzjG9+I3XffPWbOnLlOfTXSnDlz4pvf/Gb87ne/y1Wsjoh47rnn4nvf+17suOOO61wEbcZxmjNnTowfPz4OPfTQzGJ1xKpz99Zbb40JEybEF7/4xViyZEnhvn7+85/HDjvsED//+c8zi9URq97yPuecc+I973lP/PWvfy3cz9qceuqpNcXqZrv55ptj9OjR8dOf/jSzWB0RMXny5PjkJz8Zhx56aMeb/EWU4b7XnXnDGgAAoAeoVFas+gxIs4vVb1kxa1X/g6+MtrberRlDD3HVVVfF66+/3pS+VqxYEZ/61Kfipptuqmp/xzveETvvvHNstNFGMWvWrHjwwQc7iuUvvvhi7LfffnHbbbfFnnvu2SnjOO+88+K+++7rlHWtq+9973tx6qmnVrUNGDAgPvCBD8RWW20V7e3t8be//S0WL14cERFLly6Nk08+Odra2uLrX/967n7mzJkTEyZMiGeeeaaqfcSIETFq1KioVCoxffr0qkL2/fffHx/5yEdiypQpsfnmm9exlY03ePDg2H777WPLLbeMgQMHxpIlS2LOnDnx8MMPVxVjX3/99Tj88MNj7ty5ceKJJ+ZefzOOU3t7e4wdOzb+8Y9/VLVvvPHGMWbMmBg8eHDMmzcvpkyZUnWtXnTRRfHqq6/Gb37zm9yf7jjzzDPj29/+dk37+973vhgxYkRErPqHi4cffrjj75555pn42Mc+Fn/5y19it912y9XP2kyZMiV+9KMfdcq61tXtt98e+++/f9U/QrS1tcUuu+wSw4YNi9deey0efPDBeOWVVzr+/sorr4w33ngjbrzxxujVK997vWW573VrlS5k2rRplYjo+DNt2rRWDwkAAOihli1bVnn00Uer/ixbtqzVw8q0cv7FlRUvbN/yPysX/KzVu6KQJ/42s+ZP2W200UZV/9/5rT9Dhw6t+btLL720rr6+9rWvVa2vb9++lR//+MeVJUuWVM03ffr0yu67714176abblppb2+vq/9KpVJ58sknK+utt17HejfccMNO3cY8fv/731fa2tqq+j366KMrL7/8ctV8L730UuWoo46qmq+tra1y88035+pnxYoVlTFjxlQtv9VWW1VuueWWmnlvvvnmypZbblk177hx4yorV67slG3uDDNmzKhsvvnmlcMPP7xy1VVXVZ5++unMeZcuXVq57rrrKsOHD6/apl69elWmTJmSq79mHKelS5dWxo4dW7XswIEDK//1X/9VWbp0ac28F154YWWDDTaomv///J//k2t7fvvb39Zszz777FN54oknauZ9/PHHKx/60Ieq5n3HO95ReeGFF3L1tSZLliyp7LTTTpnX4MSJE+vuY23+8Y9/VDbZZJOqfvfYY4/Ko48+WjXf4sWLKz/84Q8rffv2rZr3m9/8Zu6+ynDfe0ujfou0ugarYA0AAAXs8W//WfMnyz5tn6z5Q/fRlQrWK5fNrKx4YXTLi9Wr/oyurFxW/qJvV7bRRhtVtthii8rHP/7xyre//e3K73//+8qcOXMqlUqlsvfee3daMXfWrFk1RZ8bb7wxc/4333yzpnhzzDHHrHP/lUqlsnLlysr48eM71vfJT36yU7cxj+XLl1d23HHHqj6/+tWvrnGZ448/vmr+nXbaqbJ8+fK19vXLX/6yarnBgwdXnnrqqcz5Z8+eXVPE+/Wvf110Extm+fLllRUrVhRaZt68eZXRo0dXbdNHP/rRXH014zj9v//v/1u1TP/+/SuTJ09e4zJ33nlnpV+/flXLrOm4Viqrit3bbLNNVV8HHHDAGp9Dy5Ytq/zrv/5rp16DlUqlcuqpp3asb9ttt60p6DajYH3EEUfU/OPMokWLMuefNGlSzXFa0z+YvKUM9723664Fa9+wBgAA6OYqr38zIop/F7UxlkTl9VNaPYhu7bHHHos5c+bE//zP/8QZZ5wRn/jEJ+oKp8tyxhlnVH0z+rDDDov99tsvc/4BAwbEZZddFv369etou+SSS+r65u1//dd/xZ133hkRERtttFFLPknwy1/+Mp544omO6R133DHOOuusNS5z9tlnx4477tgx/eijj8aVV165xmVWrFgRp512WlXb+eefH9ttt13mMu9617vi/PPPr2r71re+FStXrlxjX83Su3fv3J9heMsmm2wSP/zhD6vabrvttjV+uzmiOcepUqnEOeecU9X2rW99K3bfffc19rPnnnvGKaf8731xyZIlyc98vN2VV14Zzz77bMf0O97xjrjkkkuiT5/sr//26dMnLr300th000072n7+85/Hk08+uca+1uThhx+u2uaf/vSnscEGG6zz+tbFjBkz4vLLL++Y7tevX1x22WWx3nrrZS6z//77x8SJEzumlyxZEmecccZa+yrDfa8nULAGAADoxipLpkQse6jVw6i27MGoLJna6lF0W1tttVXD+1i0aFFcd911VW0nn3zyWpfbYYcdYv/99++YXr58eVx11VXrNIZnn302vvGNb3RMf//732/Ktq/ul7/8ZdX0V7/61ejfv/8al+nfv3985StfWeN6VnfXXXfFU0891TE9dOjQOPTQQ9c6vs997nMxdOjQjulZs2bF5MmT17pcmX3wgx+MAQMGdEwvX7685pveq2vGcZo2bVrVMVpvvfXi3//939fYx1v+4z/+o6rAeu2118aCBQsy5//9739fNX3kkUfGJptsstZ+Bg8eHEcccUTH9IoVK+KKK67INcbVLV++PI444ohYvnx5RER85jOfiY997GPrtK56XHXVVbFixYqO6X/7t3+L7bfffq3LrX7Puuaaazq+XZ5ShvteT6FgDQAA0I1V3izn/ymuLCrnuMjnlltuiTfffLNjevfdd493v/vduZY9/PDDq6ZvuOGGdRrD0Ucf3VHQGz9+fHzhC19Yp/XUY+7cuR1veEeserPzs5/9bK5lDznkkOjbt2/H9B133BHz5s3LnH/SpElV05///Oejd++1B5j27t27prC9rvu8LHr16hUbb7xxVdua3rBu1nH661//WjU9ZsyYmnFmGTx4cHzgAx/omF68eHH8z//8T+b8q/e177775uonIuKjH/1o1fTqRdi8/vM//zMeeOCBiFg1/gsuuGCd1lOv1a+N1e8xWUaOHBljxozpmF64cGH88Y9/zJy/DPe9nkLBGgAAoJuqrHgpYsltrR5G2uLbVo2PLukPf/hD1fQHP/jB3MuOHz++6rMFDz74YLz44ouF+r/sssvilltuiYhVb8FefPHF0dbWVmgdneHWW2+terNz1113jQ033DDXsoMGDYpddtmlY3r58uVx6623Zs5fzz5ffd6bb74597Jl9Oabb8bLL79c1TZkyJDM+Zt1nJ577rmq6dGjR+fq4y3vec97qqazCtZLliyJV155ZZ37Wr2fxx9/vPAnKp544omqT2icd955sfnmmxdaR2eYM2dOPPzwwx3Tffr0iT322CP38kWujVbf93qS7A/bAABADzeh10E1bXetvDb38rcm5k2tMzUfdIrFv4uI5a0eRYZlq8a3wVGtHgjrYNq0aVXTa/tG79ttsMEG8Z73vCcefPDBjrbp06fn/s72nDlz4oQTTuiYPvXUU3O/5djZ6tkPERHjxo2LqVP/9/M406dPT863ZMmSmDlzZlXb2LFjC/XzdjNmzIilS5dWfVe3K/n1r3/d8RmKiFXf6t52220z52/WcVr9zeu8b1dnzf/3v/89Vz9F+0rN+/e//z2GDRuWa/mVK1fGkUceGUuWrMpG+NCHPhSHHXZY7v470+rH9r3vfW+hb2ivfm1kHdtUX8287/U03rAGAADopipLH1z7TC1UWfpQq4fAOnrssceqpkeMGFFo+eHDh1dNP/roo7mXPfbYY+PVV1+NiIhRo0bl+oZso6w+7kbthyeeeKLqDeHNN988Bg0alLufQYMGxWabbdYxvWLFirqC9lrp7rvvjq997WtVbatPr65Zx2n1fwB4q6Cb1+rzP/7448mAzNQ/NBTpKzVvkWvwJz/5Sdx9990RsSpU8KKLLsq9bGdr1rGNaO19r6dRsAYAAOiulmW/KVYKZR8fSfPmzat5w3ObbbYptI7V558xY0au5a699tqOb7+2tbXFxRdf3NK3hFd/67lR+6Hefor0VTZLliyJ5557Ln7/+9/HoYceGnvttVe89tprHX////w//0986UtfWuM6mnWcNt1006rpF154oVA/q8+/ePHiePbZZ2vm22STTaJXr+qSXpG+UvM+8cQTuZZ9+umn45RTTumYPu200woXbjtTvcd29Tfz586d2/EPYm/XyvteT+STIAAAAN1QZeW8iJXtrR7Gmq18PiorX422Xpu0eiQU8PZiYUTE+uuvX+g/wY+Imm/dvv7662tdZt68efHv//7vHdNf/vKXa/5z/mZbfV8U/YZv3v1Qbz9F+mq197///VXfJM7S1tYWX/7yl+P8889f6/fLm3WcRo4cWTU9ZcqUQv2k5k/11atXr9hhhx3i8ccfr1o2b+H4nnvuydVPyhe+8IVYuHBhRES8733vixNPPDHXco1S77EdOHBgrLfeerF48eKOttdffz022aT6udSq+15P5Q1rAACA7mhZF3lza1nX/CxBT7ZgwYKq6QEDBhRex+rLzJ8/f63LfOUrX4mXXloV1Dl06ND43ve+V7jfzlbvvsi7H1q1z8uoX79+ceyxx8a0adPiJz/5Sa437Jt1nPbee++q6VmzZiWLwyl33XVXMvgwb19XXHFFrn4iIn75y1/m7uftLrnkkrjttlVBvr169Yqf/exnVUGCrdCsa8M12FzesAYAgAyNCE0UsEjTVBa2egT5VN5s9QgoaPXCzXrrrVd4HasXblZf5+puuumm+NWvftUxfeGFFxb6hnOj1Lsv8u6HVuzzslq6dGn86le/iqVLl8bJJ59c813glGYdpy233DI+/OEPx5/+9KeOthNPPDHuvPPO6N27d+b6ly9fnvmmclZR83Of+1zVt6P/+Mc/xk033RQf//jHM/uJiPj9739fNb619fOW9vb2qm+FH3fccfGBD3xgjcs0Q2ddG2//DEjq+LoGm8sb1gAAAN3SslYPIKelrR4AdVrb5xjqXeaNN96IL37xix3TBx54YOy3336F+2yGovtiXfbdui63rn0120033RRPPfVUx59HHnkk/vjHP8Z3v/vdjk9uvP766/Gzn/0s3vve98Zll11WuI9GHqdTTz21avqee+6Jz33uc5mhiIsXL45DDjkk7r333uTfr/6t6rfsscceNW9Zf/azn42//vWvmWO7/fbb49BDDy3Uz1u+/OUvd3wWY9ttt43vfve7a5y/VZp1bXTna7AMFKwBAAC6pb6tHkBOrQvMY90MHDiwanrRokWF17H6Mquv8+1OOumk+Mc//hERERtttFH8+Mc/Ltxfo9S7L/Luh2bv81YaMmRIbLfddh1/3vOe98SECRPi1FNPjUcffTQuvvjijrdb33zzzTjiiCOSn7h4u2Ydp4iIf/7nf47jjjuuqu3Xv/51jBw5Ms4777yYOnVqzJgxI6ZOnRrnnntujBw5Mq655pqIWPXW7urBjRtvvHFmX7/4xS+qvrX8+uuvxz//8z/HoYceGr/97W/j0UcfjenTp8dvf/vbOOSQQ+JDH/pQvPHGGxERsfXWW+fu5ze/+U389re/7Zj+6U9/Wvj7zY3SrGujJ12DZeCTIAAAAN1RWzmKCWvVtn6rR0BBzSzc3H777XHxxRd3TH//+9+PrbbaqnB/jTJw4MCqTwkoWDfeF77whdhiiy063rKvVCrx5S9/OT784Q/H0KFDk8s06zi95dxzz42XX345fv3rX3e0PfXUU1Wf1Fhdr1694oorroivfe1rMXfu3I72NRWShw0bFjfeeGMccMABMW/evIiIWLlyZVx55ZVx5ZVXZi43ZsyY+PznPx/HHnvsWvt55ZVXqgrwn/nMZ+JjH/tY5rqbTcG6e/KGNQAAQHfUd/tWjyCfvju0egQUtNFGG1VNv/nmm7FwYbFvpr8VnviWVLFs0aJFcdRRR0WlUomIiPHjx8cXvvCFYoNtsNX3xcsvv1xo+Tz7oTP6KdJXV/Cv//qvccABB3RML1y4MP7rv/4rc/5mHae39O3bN6666qr4wQ9+EIMHD17r+t/1rnfFn/70pzjwwAPjhRdeqPq7LbbYYo3L7rXXXjF16tTYZ5991tpPW1tbfPnLX44//elPVQX8iFXf30457rjjOvbX4MGD44ILLlhrP81U77FdsGBBTSE5dXybdd9jFW9YAwBQd5BgT1Jkvwz70Xk1bcOPn1LXOiGvtl6Do9JrSMTK9lYPJVuvodHWa5O1z0epbLrpprHJJptUFbyeffbZju8L5/HMM89UTW+/fe0/sPzyl7+MWbNmRcSqt09POeWUmuVSFi9eXDX9yiuvxNNPP90xvf7668fmm2+ee6xrsv3228e0adM6pvOM7+3y7IdUe9F+ivTVVXzmM5+JSZMmdUz/4Q9/iP/7f/9vct5mHafVHX/88XHEEUfEr3/96/jjH/8YDz30ULz88suxbNmyGDJkSOy0007xqU99Kg488MAYMGBAzJw5M5Yu/d/v+o8YMSJXUXPEiBFx6623xj333BM33HBD3H777fGPf/wjXn311Rg0aFC8853vjAkTJsTnPve5GD16dEREPPbYY1Xr+Kd/+qea9T7xxBNVb4kff/zx8eabb1ZdTylvfev6LQsWLKhaplevXrHNNtusdbvyqPfaWH3+wYMHV31m5S3Nuu+xioI1AABAd9V3VMSSEhes+45q9QhYRyNHjozJkyd3TM+cObNQ4Wb27Nk161vd2996XLly5Tp/huDrX/96fP3rX++Y3m+//eLGG29cp3WtbuTIkVVF05kzZxZaPs9+iIjYcccdo3fv3rFixYqIWPWm5vz582PDDTfM1c8bb7wRr7zySsd07969u3yxbMcdd6yaXtO+b9ZxShk0aFAcc8wxccwxx6x13nvuuadqesyYMbn7iYjYfffdY/fdd881b56+Vn/z+Nvf/nZ8+9vfLjSmiIjrr78+rr/++o7pjTbaqKaova5WPxb1HtuddtppjX01+r7HKj4JAgAA0E219du51UNYo7Z+72/1EFhHb72l+ZbVi19rsnDhwnjkkUfWuL6uop79EBFx9913r3F9b+nfv38MHz58nft6e5EtYtWbnf3798+9fBn17VsdLLtkyZLMeZt1nOr1pz/9qWr6gx/8YEP6eeqpp6qKp1tvvXWMGDGiIX012urH4pFHHok333wz9/JFjq37XvMoWAMAAHRX6/1rlPc/rO37/4+PruijH/1o1fTtt9+ee9k777wzli9f3jG98847r/U7vWU1YcKE6N27d8f0/fffH/Pnz8+17Pz58+OBBx7omO7Tp09MmDAhc/569vnq85YpNG9dPffcc1XTazqHmnmc1tX8+fPjuuuu65geOHBgfOpTn+r0fiIifvGLX1RNH3nkkQ3ppxm22mqreO9739sxvXz58rjrrrtyL1/k2nDfa56y/nIBAKCJfEM5v9T3vrPMTuzXlQfXBsxNvDf9fxQv3+2SusbluNLWe/Oo9N8nYskfWj2UWuvtE229O+c7wjTfvvvuGwMGDOj4ZMA999wTjz/+eLz73e9e67KXXXZZ1fTbw/Pe7vjjj4/jjz++8Ng++MEPxh133NExfemll8Zhhx1WeD15bLbZZrHnnnt29Ld06dK46qqrcn3+4corr4xly5Z1TO+1115rDOg74IAD4kc/+lHH9BVXXBFnnnlmVSE2ZcWKFfGrX/2qZl1d3R//+Meq6TV94qSZx2ld/ehHP6oK8fvsZz+b+5MvRbz66qtx8cUXd0z37t07s2D9/ve/vyP0tIjTTz89zjjjjI7piRMn1lz3nemAAw6oenv50ksvjY985CNrXe7xxx+PqVOndkxvsMEGa1yuGfc9VvGGNQAAQDfWtv5nWz2EpLYB5RwX+ay//vrxyU9+sqrtnHPOWetyTz75ZNW3hPv06ROf/WzXPhc+//nPV03/4Ac/WOPnKSJWfb7iggsuqGqbOHHiGpcZP358vOtd7+qYfu6552oK0Sm/+tWv4vnnn++YHj58eOyxxx5rXa7MXnjhhaqia8Sqb5OvSbOO07p4/PHHqwIjBw4cGKecckqn9xMRceKJJ8ZLL73UMf2lL30p3vnOdzakr2Y55JBDqv7h5oYbbogZM2asdbnV71kHH3xwrLfeepnzu+81j4I1AABAN9bWf2xE3/e3ehjV+u4cbf2LhYlRPqeffnrVd4Qvu+yy+N3vfpc5/+LFi+Pwww+PpUuXdrQdeeSRNd9mbqXTTz892traOv7k+YbwxIkTqwIAn3jiibUWG7/5zW/GE0880TG90047xSGHHLLGZXr37l311mpExAknnBBPP/105jJPP/10fPWrX61q++53vxu9eq29HLTddttV7YvOfkN24cKFcf7559cE+63Nyy+/HP/yL/8Sb7zxRkfb4MGD4zOf+cwal2vWcYqIqk8/rM0TTzwR++yzT9V+OOuss2Lbbbdd67JvhXDmUalU4utf/3pceumlHW3bbrttnHXWWbnX0Qy333571XnX1ta21mW23377qn9IWLp0aRx22GGxePHizGV++9vfVp3T/fr1i9NOO22tfXXH+14ZKVgDAAB0c20bnRURZQlY6x9tG32v1YPo1hYsWBBPP/108s/qBZxXXnklc961Fd2GDRsWX/nKV6raPvnJT8ZPfvKTquJMRMRjjz0WH/7wh6vC/zbddNNcBaKy6927d5x77rlVhbXzzz8/jjnmmJg7d27VvK+88kocffTR8YMf/KCjra2tLc4777y1ftojYtWbpGPG/O8/9sybNy/GjRtX83mMiIhbbrkldt9993j11Vc72saNG9ew7yIXtWzZsjjxxBNj2LBhccIJJ8Q999xTc9683YsvvhjnnXdejBw5Mh588MGqv/vP//zP2GyzzdbYXzOP02GHHRaHHHJI/Pd//3dmQb69vT1OP/302HnnnavegP+Xf/mXOPbYY9faR8Sq6+rd7353/Od//mc8+eSTyXmWL18et912W+y+++5x7rnndrT3798/rrjiihg4cGCuvsrujDPOiE022aRjevLkybHPPvvE448/XjXfkiVL4sc//nEcdFD1p9ROPPHEXP9I4L7XHL5hDQAA0M219RkeMfC4qCz4z1YPJdo2/Mqq8dAw1113XRx++OG55v36178eX//615N/99RTT8V22223xuXPPvvsmD59etx8880RsaoI+R//8R9x5plnxi677BIbbrhhzJ49Ox544IGqb+H269cvJk2aFFtttVW+jSq5T3ziE/Hd7343Tj311I62iy++OK644ooYM2ZMbLnllvHCCy/EvffeW1PAPPvss2vC3LL06tUrJk2aFGPHjo1nn302IlZ9HmPfffeN7bffPkaNGhWVSiWmT58eM2fOrFp2u+22ixtuuCHXG6vNNGfOnPjBD34QP/jBD6Jfv36x0047xVZbbRUbb7xxVCqVeP311+PJJ5+M2bNnJ7+n/H//7/+NI444IldfzTpOixcvjuuvvz6uuuqq6Nu3b4wcOTK222672HDDDeO1116LZ599NqZNm1azPR/5yEfimmuuKXSMnnjiiTjppJPipJNOis033zxGjx7dUbx/8cUX45FHHqn6R4uIiAEDBsTVV18d48ePz91P2W299dZxww03xL777ttROL777rtjp512il133TWGDRsWr7/+ejzwwAPx8ssvVy37iU98Is4888zcfbnvNZ6CNQAAFFBvkGGvLWvfgLp8y7pWGRECFlOyAjJ77L7a4IiIJX+KWPZA68bQd5eI9fMVUukaevfuHddcc00cddRRcfXVV3e0v/TSS/GHP6TDPjfffPO4/PLLu1WxLCLilFNOiba2tjjttNM6QvoWLVoUt99+e3L+vn37xplnnhknnXRSoX622mqruPXWW+PTn/501ZvGM2bMyPxu7y677BJXX311bLHFFrn7Wf1t/Le/vdooS5cujYceeigeeuihtc679dZbx49+9KPC4XXNOk5vWbZsWTzyyCNVoYCr69OnT3z961+P73znO9Gnz7qX6l566aX485//vMZ5dtppp/jVr34VO++88zr3U1Yf/OAHY9KkSXHYYYd1FKUrlUrcd999cd999yWX+cxnPhM/+9nPcr05/xb3vcbzSRAAAIAeoK2td7Rt8l8RvVv0dnOfEdG2yU+jrS1/UYCuYeDAgfGb3/wmrr322hg7dmzmfIMHD44vfelLMW3atNxvqnY13/zmN2Pq1Kmx3377Rb9+/ZLz9OvXL/bbb7+499574+STT16nfnbYYYeYOnVqnHXWWTFs2LDM+YYPHx5nnXVWTJkyJUaMGJF7/bNnz44XX3yxY3r77bePT3ziE+s01iyDBg2K3/3ud/HlL385dtppp1zf1e7Tp0+MHz8+Lr744njssccKF6vf0ujj9OlPfzo+9KEPrTHALyJiww03jCOPPDKmTZsW3/ve9woXq4cMGRJf/OIX1/pfQkSs+keLn/3sZ/Hwww93y2L1Wz7+8Y/HtGnT4otf/OIa/5Fl7Nixcd1118VVV10VG2ywQeF+3Pcaq62S+u8pSmr69OkxevTojulp06bFqFGjWjgiAACgrBr9hvXy5ctr3mbcfvvt63o7rhkqK16MyrzDIlbMal6nfUZE2yaXRlvv/G930nU99dRT8cADD0R7e3ssXLgwttxyy9h2221jjz32yCwOdkevvvpqTJ48OZ5//vmYO3dubLrppjF06NAYN25cp7+tfP/998eTTz4Z7e3tEbGqkLnDDjvErrvuuk7r+/nPfx5f+MIXOqavuOKKOPTQQztlrFnmz58fjz76aDz99NMxZ86cWLhwYUSsKmxvtNFGseOOO8Z73/vetRaBi2rkcVq6dGk88sgjMWPGjHjhhRfizTffjD59+sTmm2/e8amKtwf41aO9vT0eeeSRePrpp+O1116L5cuXx8CBA+Nd73pXfOADH4ghQ4Z0Sj9dydKlS+Puu++OZ555JubMmRMbbLBBDB06NHbeeed417ve1al9teq+16jfIq2uwSpYAwAA3ZKCdbbKynlRefXLzfk8SN9dVr1Z3avxnxMAOsdnP/vZ+PWvfx0REe9+97tj+vTpud6ABpqruxas3W0AAAB6mLZeg6Nt8JXRtuFJEdG/Qb30j7YNT1rVj2I1dCl/+ctfOv73aaedplgNNFX5/+kfAABgLVJvU/fYcMWc2tp6R2xwVET/f47K66dELHtw7Qvl1XfnaNvoe9HWp0Xfy4Z18OR96c/k7PBPPes8fvTRR2POnDkRETFq1Kg4+OCDWzwioKdRsAYAAOjB2voMj7ZNr47KkqlRWXRVxOLbImLZOqypb8R6+0TbgM9GW/8xnT1MoEne/nb16aef7u1qoOkUrAEAAIi2/mOirf+YqKx4KWLx76Ky9KGIZdMjVj6fvVCvoRF9R0Vbv/dHrPev0dZ782YNF2iQY489No499thWDwPowRSsAQAA6NDWe/OIDY6Ktg1WTVdWzotYNiOi8mZELI2IfhFt60f03T7aeg1u5VABgG5IwRoAAIBMbb0GR/jEBwDQJArWAADklgq2ixBuB0DX19PCFQHKypfzAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSULAGAAAAAKAUhC4CAJCbcEXKIBX+6dwEAOgevGENAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSCgjUAAMA6aGtrq2mrVCotGAkA0BOtXLmypi31+6SrEboIAACwDnr1qn3/Z9myZdG3b98WjKZnefK+WTVtO/zT8BaMBABaZ/ny5TVtqd8nXU3X3wIAAIAWaGtri379+lW1LViwoEWjAQB6mtV/d/Tr169bvGGtYA0AALCONtxww6rpN954w2dBAICGq1Qq8cYbb1S1rf67pKtSsAYAAFhHq/8fw2XLlsXzzz+vaA0ANEylUonnn38+li1bVtU+aNCgFo2oc/mGNQAAwDpab731om/fvlX/h3H+/Pkxa9asGDRoUAwcODD69OnTLb4nWSaVqA2ZSn3HEwC6i5UrV8by5ctjwYIF8cYbb9QUq/v27Rv9+/dv0eg6l4I1AABQShN6HZRsv3XltU0eSba2trYYMmRIPPvss1VvVS9btizmzp0bc+fObeHourENaptmzJjR/HEAQAm89XukO3y/OsInQQAAAOqy/vrrxzbbbNNt/k8iANB1tLW1xTbbbBPrr79+q4fSaRSsAQAA6vRW0bpv376tHgoA0EP07du32xWrI3wSBAAAoFOsv/76MXz48FiyZEm88cYbMX/+/Fi6dGmrhwUAdCP9+vWLDTfcMAYNGhT9+/fvlv+Fl4I1AABAJ2lra4v11lsv1ltvvdh8882jUqnEypUrq75vDQBQVFtbW/Tq1atbFqhXp2ANAAC0XFbAYlfX1tYWvXv3bvUwAAC6DN+wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSELoIAAA0VSpg8daV17ZgJAAAlI03rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAgAADZEKV4wQsAgAQDZvWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlEKfVg8AAICuY0Kvg5Ltt668tskjoStwXgAAUJQ3rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAgCQmxA9AACgkbxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCn0afUAAAAA6Dom9Doo2X7rymubPBIAoDvyhjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlILQRQAAAHITrggANJI3rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAgBAhj0PPLem7a7rv1bTNqHXQcnlhdMBAEAx3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQuggAABlSAYspwhUBAKBzeMMaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpB6CIAAJTUhF4H1bQJeAQAoDvzhjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlILQRQAAaKJUkCIAALCKN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBSELgIAQBPduvLaVg8BACihYT86L9k++7gTmzwSaC1vWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKQhdBAAAAIAWE64Iq3jDGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQegiAAAAANDj7Xngucn2u67/WpNH0rN5wxoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHoIgAANNGEXgfVtN268toWjAQAgLcTrlgO3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQuggA0CDC9UhxDtAo7jkAQHfgDWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBR8wxoAoEFa/e1Y37OF1mvmdej6Jq/UeRnhHAKgHLxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAAClIHQRAADo8soaMlqGMcDqnJcAlJk3rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAgB0U0K16lfWID9qOS4AAN2DN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBSELgIAtFgq2C9CiFwzdYdjICCSMuoO1xYA0FzesAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHBGgAAAACAUhC6CADQIHlD8DojfCzV16wLxta0jR/7aHL5y3e7pO4xdGXdIQCuO2wD3Y/zEgAoyhvWAAAAAACUgoI1AAAAAACloGANAAAAAEApKFgDAAAAAFAKQhcBAOq0cs4OyfZbVz7Z6X0N+9F56b9IBCwOP35KTdusA8akl7++nlFBY+x54LnJ9ruu/1qTRwLA26XCniMErQKdwxvWAAAAAACUgoI1AAAAAACloGANAAAAAEApKFgDAAAAAFAKQhcBAOo04ppjMv6mNiBx/NhHc6931jkja9pmFwibm3B8bSDSgElTcy8PreZ87VpSobCzjzuxBSMBGk24ItBI3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQuggAUKfhx09Jts+6YGxN2+W7XVLTlgoqi4iYfX19YWWpQKQJvWqDGDtDar3dNZBp4r1H1rSljiv1667nUHfV0wMWs+6vzmOgjNyzKDNvWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKQhdBACoU08Kp2lUQE8qeHLIHZXkvHdd/7W6+ioiFbDYPvaN2hlXNmEwJZc6hj09hI+epSc9C4Cuzz2LMvOGNQAAAAAApaBgDQAAAABAKShYAwAAAABQCgrWAAAAAACUgtBFAACSYYqpMJ5GBfQkw/mOS8+bGuuiA8bUtGWFM6aWn3XB2OS84xPN3TWkKO85kEXAIt1VvdcGAFCMN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBSELgIAtNjw46ck24fFeTVt9QbbZQWF7XnguXWtNyUVVLamMeRV7/JDpgyqaVt0TiU57+XHXVJXX11JGUPkGnUOQRHOt8YQZglAFm9YAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApCF0EAGixrJCpifceWdM27Ee1QYwR9YcxDpg0taat3kCsesOzsgL38vaVta9mHnxnTVuv6+sLVxQOWEzec8v+g+7L9Q1AFm9YAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApCF0EoMurNxgOyury3WqDAIdNSQcJ1it1zRQJPWzEdVjv8llBlHseWKlpa9+7vjBL95xi7C8AALJ4wxoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHoIgBdnvAuaH34aL19NXP8AyZNrWkbf/KghvRFWqvPV1ovb6ir8wIAeh5vWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKQhdBADoQmYfd2KyfVic1+l9pcLO9jzw3OS8d13/tU7vq1EWHTCmpu3OKW3pmXdr8GB6KEF6OAcAgCzesAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHBGgAAAACAUhC6CECPMqHXQTVtgp/orhpxvg+YNLWu5csgFRCZFSaZCrPMCr4EAADq5w1rAAAAAABKQcEaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFoYsA9CgCFpsnK8QuFXjX1aXCDSNaf74tOmBMS/vvSrLOy2E/qg1dpHkadW2ljqswzdZrRFBsWe/PAEA2b1gDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkIXQSgR2lEoBNpAyZNbfUQmqZR51CR83X82EdrG8fWNmWFCKYC54r0nwrZLGvAZr33gdQ+HH78lNzLu+fk16h9JWCxnBpxvF1vUF5+lwNZvGENAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKXQVqlUKq0eRF7Tp0+P0aNHd0xPmzYtRo0a1cIRAdAdpAJfIoS+1CsVwhdR3iC+VmrmOTjx3iOT7XdO2anT++pKkqGVBVy6zZ25593r2KNr2lwXADSKcEOgqFbXYL1hDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAACl0KfVAwCAVssKnRFQU58Bk6a2eghJqeO66IAxyXnr3YbU+dKo8yor5HJ1f70wHQ54eKJt1jkj6xhR9v6rd3vzbmtnBBmmjtesC8bWtI3ICK1MhTn+9cKLE3O2PnRx2I/Oq2mbfdyJuZdPHZf2vduS8w65ozb3vd7j5Z4NkOZeCHQ13rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQuggAGZoZmNcdZQUZtlrqeGWF+DXi2Na7ztQ5GBHRnggCTBlxzTG5+5p9ff7AvWbqjDDFeqSCFO/MCF28fLdLatom3ntk7fLX1AYeRhQLPUxJBSkWkRprluEnJ9qyZs53ugIA0AN5wxoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHoIgAUkDeIMWvenmTApKmtHkJurQ7x6wypcL5UmGT73m25l++uioSnptpTQYZD7qgkl9/zjtpjkAonTAU5ZvVVRJGAyHpdus2ddS2fCnjMWmevLZ+saevp99yy8owEAIryhjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlEJbpVJJJ8SU0PTp02P06NEd09OmTYtRo0a1cEQAQJasoK1FB4ypaUsFNHalQK4ioWJFAv/qlTWuvLrSMWi1VGBgRMSsc0bWtKXO91kXjE0uP/z4KTVtRY5LkeDNVHBkkbHOPPii3OM6/NnxNW2pgMXUfBER7WPfqGlzvgLNfMYCdGetrsF6wxoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASqFPqwcAAN1Vdwz+KRIumBXMlgp2a+Z+KRJEmHdcRcbfzG2tt69UYN9d13+trnU2U5HztVHq3V/D4rzc86aOVxGpsab24fixjyaXzwpITEkFLBaZ7/Ap+fsCeo6u/jsLgFW8YQ0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApSB0EQDILSvMKBn2tndbct4Bk6bm6mvYj9Jhc7OPOzHX8lm6UiBTq4M7U8eqmUGGzewrK7Awb2jinVN2Sv/Fbus6omxZ+2VAoq3Ivpp475E1banw1EXn1AanRkQMP/mxmra84YpFNWq9AAC0njesAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBS8A1rAEop6xutKWX9JnFZx5VX6hgsOmBM7uWH3JH+zm1qHam+hmT1dVzuIXQZzfxWcxGp7xcX+YZ4vdtV7/YXWT7vt6qLynsdFek/dVwi0scm9S348WMfTa/3nJG167w+cbwzrsHUN7APf3Z8ct56v0GdWm/7kK7/3Gi1Vn83HwAgwhvWAAAAAACUhII1AAAAAACloGANAAAAAEApKFgDAAAAAFAKbZVKJZ2IVELTp0+P0aNHd0xPmzYtRo0a1cIRAdBsecMYu1JIVFkD94oEX6ZC5Nr3bkvOmwqGqzfoq6xBYWUdV15FgjcHTJqae72N2AepcMEiAZH1yrpeUgGJqUDSrOulEbL2S73319QxmHnwRfkHVkCvLZ+sadvzwHNr2hoVpkn3VNbnMQA0W6trsN6wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBS6NPqAQBAEangoyLhgGVUhjCnesMBU2Fn9Qa7FVGGfdhTZIUDDp+Ufx2p8yWlSGBevQGLqcDAIustEkSYCqiceeHDufqJiDj82fHJ9st3u6SmLbmvj0uvNxWoOfzkx2rasvbV+LGP1rRljfXSbe5MDyKn5BgS52bWuVbGMMa818WapM4t98f87CsAKAdvWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKQhdBKDLS4UkZYVX9fRAqqzAw1TYWmofpvZfRMSARNvEe49MztsdgzOzdPVzK3VeZIUQDovaELzhx09JzpsKvOuMwLl6DLmjkv6LjIDC1RUJIowpg2qassIJU9rHvpFs3/OA2n2YCsnMujYjRta0zDqntm1IpPfV5cfVhj5m91Wf1HmYuo/MumBscvnU+ZYVKFqvvMGdWffX1HWYNW/e+2tXvzcBAN2bN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBSELgLQLaVC3SLqD3YrEl6VN7QwFaiVNW+WeoMMs/ZXPbL6H3ZBIpwvMV/WsWrEWEkrsq+zAhYb0Vczpc7jIYnQxPHpbL+ky3erDSdcOWeH3MsfPiUroPGx2qZEaOKsO2rbsqSCCJNBkpEOWLx0mztz9zXimmNq2rICC1P3h7sK3AeLhA7mDXPMDCRNBHKmQj7bMwIi84Y2ZhGwCAB0Nd6wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSaKtUKrWJHyU1ffr0GD16dMf0tGnTYtSoUS0cEQDdWTLUq4nBcKmgryIBjY0I2soKMEuNK2tf5Q2DFBTW9RUJ/mzE8c4K7kwFCRaRCpgsEr46/OREOGKGO6fslHverDDEerSPfaOmrd7Awqx1pIIne235ZO711nsOFRlr3iDGLKljNSsRkBmRPl+zQk5T9+J6nw+tvo4BgOZrdQ3WG9YAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAp9Wj0AACirVFBVM9UbilUklCxvwONdDQrqKhJW1oiwNRojKyQ0FTo47Efn1c6XESyX+3wpEK6YFViYCsJLbVdq/BER43MGLBYJV6zX5btdknveCZH/Ok5pdRBikf6LzJs6B7LO15Q7U+fw3ul5Zx93Ym3jcel5UyGfqesl63wdckelpm1AYj73XACgkbxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAAClIHQRADKUMVSqSJBhKhSs3gCzIsvXu/+yQsGG17XW5koFoN11/ddaMJLOk9qmLO1ZoYeJIMNU4FxWuGJWQGJN/2PfSLbf0v5wruUjIuLCO2uaDn92fO18qW2KiEhswqXb1K5zREboYjJwL0Pq+hwyZVDu5VMadR9Mj7V2v97SXruvsuS9jxWVdx806p5XJEwydc2lwiCzAlGT1+zeXScUN3V/KhKgXMbnPgD0RN6wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSELoIACVVJCys3qCoVgdlpQy5o5Jszxsm2erxRxQL+2qWrPMqFXCYOgZFQiMn3ntksr39+EQYYiLYrUjgYKqvIoGDySDFDKnQxFQ4YxFZ5/uwqA3iy9ovqWvjzim1IXoTI31cLt/tkjUNcZ1knQOFgi9zrndWIvjyroz7QOo6yAoiTF4ziXmzAkkzw0dzSu2rrP06PpGPeGfi2s4KLv1r4tzuteWTNW1ZAZFDMvZhXvU+9+oNtS0SLAwANI43rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFNoqlUo64aWEpk+fHqNHj+6YnjZtWowaNaqFIwKA+rU6XLEz1ttMWcFmq8sKPGzmtuYNdssaa73zptTbV5H9V++5nRXslgqMSwUhFglSvHPKTsn24cdPqWlLBVTOPPii3H2l7Dvkfcn2esMJi+yDVOhi6hhkBfalJAMqM6TGmrV8KggwK4gwJet4p2QFYq4u69pKnS/1BopmKbK/U1LHIBlmmRFumHXNpqT2QVkDdPPey+q9P5ZhWwEgovU1WG9YAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApCF0EgCZqZsBiT5IK+kqF5WXprmGWeUMfI7JD1Fopb8BmRMRfL7w497wjrjmmpi0rBC81htS+Wjlnh+TyecMB6w3Ly5LqP2usRQIa86p3u/Y69uhke+oYFAmxKxJkmAodLKJ977aatlSQY9Y1mNquVJBjRP3hn3nPgVRAZ1Gp+3Zq/KlzuAw8zwHozlpdg/WGNQAAAAAApaBgDQAAAABAKShYAwAAAABQCgrWAAAAAACUQp9WDwAAepJU4F0Zw+66mlSAWWfIG7jXlQK1Bkya2rS+skLJUtdBalwDMtabWj4Vzjf85MeSy48f+2hNW1bAY2od6TDLdDhgRGq9iRC/CxsTupgVsJjSqODHvFKBf0Xuj6nrsMg5mBXcefjJtW2pfVUoHPC42qZUCGFExPD8a03uw9RY6w3YzAqtrDeMMR2IWtcqG6Yr3fcBoKvxhjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlEJbpVJpTEpRA0yfPj1Gjx7dMT1t2rQYNWpUC0cEANmhXnkDmepdnrSsULBZ59QG3vWk4MuscMG8+yDrfE1JBdtF1B/8WO+1kTo3ssLiUvsrNf5ZF4xNLj/7uBNzjalIOGK9sgL3GhG6WKSvQqGFCfWem1khnXm1j30j2V7v+ZoKYxx+/JTkvLe0P1zTlgoyzAqqrXcfNFPqXl7k3lLvcUmdb2V9bnelsQJQDq2uwXrDGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQegiADRIvSFHjQhJKhLwmAr6yhsg12xFAutSIXB3TtkpOW9Zt7ceqeMakQ5xS50XWaGNReQNRss631NjKBKcWSR0Ma8i+yUVbNeIwMNGSYX4RaTPoVQIYET6OswKLUzJCrlcXZFwwUYdg9T+Su2rrJDS1LmddS8fMmVQrjFlne+p9ab2ddZ+bd+7raYtKyAydX3n7T8iYvzYR2vaUvfyImPN0h2fBQCwJq2uwXrDGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKoU+rBwAA3VW9AYkpRUIT65kvov6QqXrHWkSvLZ/MPe+d19SGDmaFcsVx6zqiVbL2weoasU+yZB3XYVG7X4oECRYJPcwrKyByfCIwr94gxnpl9ZXahuGNHsw6SgUhFgkizBv4lyUVOlhov+YMDo1IB2/WK7X/suQNHMySFUQ4K5FvmAonLCK1fPvxGQGZe+cLw4zIv72Z9+ecXWWFK2aFQaak7o9F1tnMezwAdAfesAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHBGgAAAACAUmirVCoZKRblM3369Bg9enTH9LRp02LUqFEtHBEAZZUV1lZvkGCrFQnlKiJvIFQzgxQbJbUNqbC3iIgBk6bmWmfW9qf6SgXTtY9NB5g1c7/m3S9598mapALjZh58UU1bVohdKggwNe+dU3ZKLp8MkavzGBQJ8SsSZNiTpI7h5btdkpw3b8hm1nFpxDHIOl9T52G9z6Ks7Urtr9S8WddGKuAwK7Sw3uXzhmRmPXdS95HUtT3rnJHJ5VOaGdTaKKn91ZWe0T1Jq8OCAdak1TVYb1gDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCn0afUAAKARGhWu2KjQw7yywgFTGhHc0x2Cm1LbkAo+KqJIGGWqr/YL8oeaNUresLMi52CWVNhaHFzblBWM12vLJ2sbn60Nlsu6D6RC6FJhmEVkhQOmAmAPT8xX1iDGEdccU9OWCraLaO42pIL8Vs7Zoabt0m2aMZo1S+2vZgbjZQUspqSeG/XeH7POlzsToYnJwOTEfBHpgMdIzDr85MfS/Sf2S1mDhYucL40IURbk2BgCFgGyecMaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpB6CIAXV4zgxCFDHVPAyZNrWv5IudFKmQp6xyecHx9QVdFro1UmOKA3EunZe3XvAGHhz87Pv0XiYDFlFS4YrOlAiYvbX+4BSP5X1n7NRWamDfYrjOk+s86h8cnzqHUdpU1zDJ1vWWFG6buGZlBirvVNaykVMBllmSg6snp6z11bhW5P6b2YWq/ZIU+ptpnZYTKNit0MOscqPdenFJk/HmDGDujLwCI8IY1AAAAAAAloWANAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSC0EUAupRkIFEiJCkV3NQoWcFDzQwZSu2XZu6Dri7rWKX2aypIsEhYWsqsC9IpdqlQsiIBZKlrI0uRsLO8y2dJrffwKbWBebPOGZm7r2E/Oq+mbebBF+UeU5ZUcOPlu11S09bM8Nd6FQki/OuFFzdwJGt3SxMDKouEURaZL7Xe4Sc/ln9gCVlBgqnzMBVQmSV1HaX6ygp9TN3LhkR6rHn7H5JxH0uFQabumZcenD4u+w55X+06L0gHTA6flGyu0ajfA10ptLArjTWlDL/pAPCGNQAAAAAAJaFgDQAAAABAKShYAwAAAABQCgrWAAAAAACUgtBFALqUMgYJliGIJxUESGOkwg1T4V8R6fCm1Pky+7gT08sfn2/5IuoNByxyrhUJr0qFG2YF06XmHZ/IrcwK0SsiFaS3cs4ONW23tNfXz4hrjkm2p0LksoIQe235ZK6+UvsvolgYYyMUOV6tHmtK1vhTAYVZ13y9huQMWMwKTUyNKxWEWGT8Wedb1n1zdVnP/dT9JRX6mHVchkypbVt0Tu31liW1XyIjQDfvfXdA7t7Jkve5Szb7ECgDb1gDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkIXQSgyxMOk2a/1C9vyOeeB56bbE/t76x5U9oTAV5Zy+cdayqULCJ9vhQJmEwFq2X1lRXCVrP8OSOT7fWGrxYKnkyEKaYCEsePfTS5eN5wwKzlI70Lk1IhcJnrbbG8AYuNClfsjEDO1WWN9fBEW+pYDT8+kQKYIevaSoV0psJLU/NFRMRxuYdQt9S5mQqDTIYbRsSQxP0ptV2XH3dJcvnUfSjr/jYkavuq93g1Knizp6v3d47fSfYBUA7esAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHBGgAAAACAUhC6CECXlwqG62lSATmFguVISoV9pUK9soK6kmFhGfOmFAn1ygomW11WCN+sxHWUCmtrT4SiRURcvlsi2Gy3XEOKiIx9HelguLwBkanxZ8kKmUoFs808+KLc600pEtpYRGpcqXDBRgUZFpF3DFnhiPVuQ5Hl692HqXlTQYyJfM+IKBbYN3FsvkDTIves1Lm5cs4OyeXT53auIUXEGsIgE/Je31khr8lQ173T6xgwaWpNW5Fgurz3564kK/gTADqDN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBSELgLQ5aXCkLICB4uEE+adt0jwUley54Hn1rTddf3Xci+fFXTVPvaNmray7sO8oYczL3w42b7XsUfnWj5zvx6Xa/FMyXN7yqDkvEUCCnP3lSF1vFPBbrPuSISiRf6g1TszAiLHT8kfInfpNrm6KiRvOGJReddRJMiw1aGNXSkgsl5DMq7NRefUBhFOOD59vWWtI6/kPS+xzlS4YkRGaGKBbL7UfSjrOk4FwGaFUabsGbXPuEZJjavIM7aMvz2K7GvKqcjvX4Bm84Y1AAAAAACloGANAAAAAEApKFgDAAAAAFAKCtYAAAAAAJSC0EUAuqWswJhUwMysC/InQjUztHHYj86racsKOSoSeJdXKvypyLZevtslyXknROePtVFS25UKytrr2HQIYJGQymYpEiBXJAgwFfY265x0aGLqPEot3753W+7+U1JBjp2h3iDCzghYTEmNIRWOlwp9LKuscL+utA2NUCQULRWAm3lt1BvaWCA0MXUM9x3yvpq22SvTz73UvTgVVJucL9KBzbF3gYTIBijyjM3arryS259BCF/3VNbj2oiQ0SLXVur3d4SgUWg2b1gDAAAAAFAKCtYAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCm0VSqVSqsHkdf06dNj9OjRHdPTpk2LUaNGtXBEAJRVkZClrCCX1DqaGaKXCohZdEA63C+vIuNvROhNI9dbjyJhPF1J6hzOCjJsREBhVuhiKpitSGjhXsceXdOW2q6sbSrSVyPUG9pIz5IKnhx+/JTcy6cCTevVzPM1K3gzJbVfsp6bqedhVthaar1FwtpSUvenrIDKIsc77++EMoYCZ+muz+iu9DurjL/dgMZqdQ3WG9YAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCn4hjVAD5L1bcXZx53Y5JGsu7zf0OuM7x3W+w3pIt/LTsn6DncrZX3/uIghd9T+9EjtqyJ8RzG/rPMq7/dMs5ZPfZc6S+o7ran7UJHvyaa+05v1PdjUt2PL+g3pZn7v2re1GyO1X1OyzteZB19U07bvkPfl7j91bdR7XLO2KbXevNsfEdE+9o2atqz7e+r+kLqPZP0eSJl1wdjc86buI6nxN0qrn3tFfmc16hvUzfpWc2esF6CraXUN1hvWAAAAAACUgoI1AAAAAACloGANAAAAAEApKFgDAAAAAFAKQhcB6JbKEJqTCqdLBdtljTUV/lTWgMxGBB8VkQrfSoU7FpUKgywSypUKBywSSJUK+cwKR8wbEpoVnJk3DDNr+1PLZwUx1hvMljcwrkgwXBHCCbunRp0vRfpKyQpjTMkbKNrMbc2SGkORbU1J3XOzwpKLhAinnr0T7z2ypu3y3S5JLp/6PVCk/9RxzdpXeZ87jdLq3wMAdI5W12C9YQ0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApdCn1QMAgEYoa8BPMngpI8SuSMBiVmhfK6W2NSIdGpgKTaw3YDIrnDClSOhhEamAwtS2RoEgx+TyETE85/KdEUaZ7D8RsJgVQJYKK0vJCoArEljXCGUNWBQGWZ9G7au852vW9TJhbO39aciUQcl5U9sw4ppjatpSIX5lUCRcMDlv4l6ata3tifVmzZsOTaxdftiU9P05EgGLqWdc1v293jDKZirr7y8AuhZvWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKbRVKpXGJO80wPTp02P06NEd09OmTYtRo0a1cEQAlFWREMJWBwRlhROmDJg0NdnerG3ojHDHVJBheyKQqohUkGCR0MVWywxSPH5KTVsqyDEif1hZVqhYKvAtNa7UmCKyQ+BSulIQoCBD6pU6h9rHvpF7+VvaH+70/pt5DjcqJDVvEGFW0GzeAOCsddQb7Jt6bmf1X0RXeh7m/U3R6t9pAD1Rq2uw3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFLo0+oBANA8WeF+qSC/rh5w0xnjzxuSVK+sIMVUuN7s61t7XIpsf1aYUiPCnyYcX38YZLOk9suQRBBlZ8gKWEyZeO+RieUTMxYIVyyi1cFw+w55X7J90QEjaxsvFLpYr1Yf7yIaMdbUvXTlnB3qWmeWsu7XVGhiKjAwK5Q3dX9LhVlmBdUmfxNl9NWQ51biWTC7wDM2K6CxrAGLKakQ5qzfRAD0LN6wBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSELoI0INkBfFkhTH2dKlQrCJBjFmhg3mXzwpUyttXvQGR9a6zyH65pf3hmrZeWz5Zd195ZR2rZu3DvOdKRDqULCIi0rliNVKhZBERQ+oMU6w32K0RwXCpsLysvrK2/9JtLu7UMbFKq4MAs86NlNRYR1xzTE3b7ONOTK/g2dpA00YFLLZakf2aMvzkx2obz0kEn0bEnVEb2jh+Sm0Q4627ZRyX42qbGvXcrfe+X0S9vz3qXb6IVKBmq8Oli2hWODdAT+QNawAAAAAASkHBGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBaGLAFCneoOTspYfnmgbFulAqCEHjMm13s4ITWyEVIBZZGxrZrBZHRq1rXnXW6T/iffWBrhFRNw5pTaALBnQeEB6vXdOqQ2/mnnwRTVtWaFq9YbYNUJWP6mxtjoEkGLnUFZ4aH75l++1sjYAdvjxtffXiWPT12ZPP7dS96YikkGMkX5GpmTdMy/f7ZJ1HNEq9QbVNkq9z7O8y2cFVGYGA6ckQhfLqowBi40KjAYoA29YAwAAAABQCgrWAAAAAACUgoI1AAAAAACloGANAAAAAEApCF0EIAZMmtrqIZRSGQN29jzw3GT7Xdd/raYtFYiUtXzeddYbMJll+PFTatpmXTA2OW9quxoRxFhEkSDEIsaPfbSuee+M2v6z1pkKMGtUOGG96613+WaG4Al4zC8VpJgVbJdqT11vqeDQLFmhjyvn7FDTdkt77tUmpYJmi4y1UfKer0UCMrPuOXnvj1kBm6lnRCrwLyu0MXXfHp9+7CTPgVnnHF3Ttmfkf0YXkXp2j8/Yrryynlup/Z367ZP5fErsw6x73l7H1u7DOC692lZr9e8/gJ7GG9YAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUApCFwHILStwr7sG0aS2q9VBjO17tyXbU+NKhegV0ahtrTe4sUgQYaulxjrrnJE1bX+98OLk8qlgs8t3uyQ5byqUa/b1tWGUqdDKiHRwZVYoVyMUCXGj60sd71va6wyjrDPMMisYrt5zM7XeMgQs5pUKiOyM+3Cz7jlZoY1ZgZ4pqX0Qe9c2pQKEs+T9jRERcVdi3qx9W0+jygAAXNVJREFUlTeYOPUsiohov6D2d0ZqncOPz79fG3V/b/VvMsrJeQHdgzesAQAAAAAoBQVrAAAAAABKQcEaAAAAAIBSULAGAAAAAKAUhC4CkDuIJGu+IuEmglAaoyvtw7xBU6mQqIiM0MDd6h5WXbJCvVLuWvm1mrZhP0qHaabseU5tuGJExF3X1663XndO2am2sUAwXVaIXVZ7nnV2NXm3tafpSvulWWPtjPM9dc2mAh6z+kpe8wlZgX2p+1CxcMDaUNkJkT+od8CkqbnnTd23b2l/ODlvr4yw2xrH5e4+adYFY5PtqX01Pj1rMhAztfyQjDGkgiOzxpVS5HrZK2rPo3p/J/ak35nddbvqZb9A9+ANawAAAAAASkHBGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBaGLANStSLiJIBRSFh0wpqYtFZwUETEkMe+wSIV3pUMbi8gb3lQkZDQla6ypsLL249MBj3seWBvG2L53gTDHxPLjT36spm3ENcfkXufhGe2pUK4ioY3JvgoE1nWlwL+epN7QwVYf16zx5x1X1nxF9ksqcK/ItbVvIogwGZR7fPrelrqPDD85OWtuWffXVJBgveF8Wft61rH13V/zSh2/iHRA5OUZ25oVclmzzozxz74+XzByVhDjXsfWPqOz+hoSldzrTcl7vLOexV3pN2lPCpMEiPCGNQAAAAAAJaFgDQAAAABAKShYAwAAAABQCgrWAAAAAACUgtBFAJJSwUl3Xf+15LyCYBojtV9TgYMREXFcgwfTiVLbNSAxX1bw0vDjp9Q27p0/pKnI+ZoMG6tz+dS1lSUVVjZkyqCMuWsDEocn5soMdhubL9gtKxQsJRUUtuovaptmnTOypm3fSRnLJ8y6YKfc86bCIIsE3rU63K+7yhvGGRFx55TE8W7QcWlEIGiR5evtK3Vtjdg7fb0MOaA2BC+lyDM+bwhgRPr+OGDS1PTMiWdEKogx656VesYMifS8wxMBtHftdkl6XAl5nxuNCgdMBftmPYv2vCMRMJnYV1lhwalAzvEnp59bs+6oPTdTz/jUmCKyf5c2SzN///pdDfQ03rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQughAUpEgG0EwjVEkkKlISGazFAmPSs2bFeiUCl9KzVsk6KuIrDDIlNQYUkGKnSEVQpcKG8sKsWuE7IDIWu17t9UuH+mQ0VQIW2pbiwQpZhGw2FpZ+39E4nxvdUBmvedbM6/NrPtr3gDfVLhhRPo6TAZkRsTMgy+qaUuFv1564cPJ5Q9/tvb+kgp6TWS8RkTE7JX1PTeynnH1LL8oI1i53nC/1PEanhFmeUt77f7e69ija2csEPacFcA7fEptmOXl19duV9b5lve3T9Z+rZffvwCN4w1rAAAAAABKQcEaAAAAAIBSULAGAAAAAKAUFKwBAAAAACiFtkqlUmn1IPKaPn16jB49umN62rRpMWrUqBaOCKC5UuEyWVoduNddlTHcMKK842qEvEFXWeGIQ+6o/ekz/OTa4KeI/EGGWVLLZ4adJWQFTaXk3a6sALSUIkGGPUmrw/0opyKhiZfvdklNW9Yzvsh1nAwyTIwr1X+WIvehlKx7XirgMHUd1btfsxTZruHHT6lpS4XKzjpnZHL5VKhskWdBal9lnQN5n1FZY01JBd12RuBgartSAY1ZfdX726feMMt6l6ecioSGQ3fW6hqsN6wBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBT6tHoAAKStnLNDovXopo+DcskMiUoEOjVC3sDDiMaF06TWWySQNCtgMSUVZBjpLMd0X4mgrjgu//IpWUFdE46vPTbtk2rnGz8lf2hkkQC0Rsxb1iDDso6rJ8kbxNeoY1XkfE3Nm3rG//XC/H1lB/Yl2p+tDbZLhd1lGV/gnpeS9dxKrXfENcfUtCXvo5EO1p0wNn8IXmq9WWG9qfZbtqkNuByxdzoIMXW8UvslKzCx3gDfIsc7JbX9Wcc19dxMhU6ukgg2Tjyjivz2Sc2bdQ7VG7BI9yRcEcrBG9YAAAAAAJSCgjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUApCFwFKqteWT9a03XV9et7MMBo6XXZwUHMkQwCjeeNqVBBNKswoK/wqZXwiSHF4XSP6/9eRM6Dx8t0uSbbveUBtGGRqW4dMGZSx5tpAqqyAyQGJttTxygrfSoV6RSJErkiIXaPmhVZr9bldd4jeOSOT7XnveVnLJ+2df9Zk6GDG/XFI1M57eYFnVOoZkxV6mJIKw8xaPu/vtKz9Ovv6/AGLed11/deS7XnDIDOfe3fUPqOK7Nd6pfq6M+P3ROp5vOiAMcl57xLEB9BU3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFJoq1Qq6fSmEpo+fXqMHj26Y3ratGkxatSoFo4IoBxSoTGNCsfrSVbO2aGmba9jj65pywouaqZUSNLs42pDmrKCutrHvlHTViT0sBFS4y+iSLjgzIMvSs474ppjatpSgU6p/ZelSNBXVqhVPbJCG1PBnalxZQXIpQLI6iWIsWdJnUNZ19Yt7Q83ejillnW9pe4ZqXthVrjfXy+8OHdfeWUdw1TYbOqab8S9JSIjaDZD3udRkedOkWdckXDAAZOm1rRlB/s2R9a+Tu2DIkHiw4+fUtOW2i9ZwdSp/lP7Omu9Zfj9B9Aora7BesMaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEqhT6sHAEB+RYJgepJUQM+QO9KZwqkwoixDpiQCwDKCe5ol6xyIOgMSU0GAqX3YzIChrG3NGyiaFVg4YWztensd92Ry3tnH1bYlA6EuSI+h3qCuVisSgFYkILFRIWqUT5FjnbxmV6bnTYXiNkpqG+q9NvKus6i895KsZ+HhJ3f+tVkk8K8R94aswL9UYF+94YRZfaUCbIvc99MhoxnBoxfmXm1uqeOS9YxNBfsOifRvsj3vSIQA5wwAjoi4M+dvn6zl08/z/L+nhJ4DNI43rAEAAAAAKAUFawAAAAAASkHBGgAAAACAUlCwBgAAAACgFIQuAnQhWeGKrQ4CbLVksF0iLC+iWEBO7jDHjL5SUmFEhY5fRhhQKlAoGSYU6UCoIvuwq0sd7yIBj6l9VW9oYlZQ17Aptccwb5Bjlr9eeHHueYsEbaX2QVaIXGeEy+XRGQGR5LfXsUfXtGWF++UNJsu6NlOhuEWO64hrjqlpm3nwRbmXLxIOWG9fKVn3jJTU86HecMH2sW/UtXxE+jdNvb9nUtuaClcsKnUepvbh+PryjzM1KqQzr1Rf6d8YEeNPfqymrUgY5fCCY8sj67mVesZmST17h0X+5euV+v3YzCBsgGbzhjUAAAAAAKWgYA0AAAAAQCkoWAMAAAAAUAoK1gAAAAAAlEJbpVJJpEeV0/Tp02P06NEd09OmTYtRo0a1cEQA5ZAKvikSzJYVapVX3vCsRikSZJgK+CkSBpRSJPwqJSsQqsh+LRIm2dU1Ingo6xpIhYKl+soMn0qcQ1nhTympIMMiy6dkjTVvCFxZgwxT48q6NusNvOuuUuGA9YaMZp2veZ87WeGAZTzfikiNv8i1VaT/VEBi1n5NHa+se0a9Us++vPfcLPUG4BaR2q9FQpxT19bKOTskl09dm1m/UVodaltE6nwr8nsmdbxTx+WW9oeTy3fGNqwua//nvb8ClEWra7DesAYAAAAAoBQUrAEAAAAAKAUFawAAAAAASkHBGgAAAACAUhC6CFBSRYIQ6w0pSoXYDZg0taZt1gVjc68zy5A78j12skIT864za/uLhPmk9ktKal+tab3NUtYgxrzhU1nXQOo8rDdktN5zOys4MxVs1qjQxNQYUse7SChZo8K7UkFXjQiha9T4U+FZZQ1yTO2XWeeMTM6bdS9bXdZ9JBUYt++Q9yXnTT23Uvf9rP1a7zFI7ZdUWFtE+jqu99yq93zd69ijc8+bOq5ZoYupcyP1PM26PzfzGZO6FxYJVs57z4zIH+6XOq+zFPmdUyTANyu4cXX1Bg5mXS8pWedb3tDqIgGT9W5X1phSvzNSvxOHn/xYXf3X+xsBoLO0ugbrDWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKIU+rR4AAPllhQEVCWhMSQUqpYJksgITU4FOmcFLx+UbU1bgYTJMMec6s2Ttv/ZEEF+RkKZWKxL+1Eyp4KJUeNbwjOWTAYeJcyAreGrWBbVhbVnyjjVrX985pTZUa2LUhncVCVnKCp+6s87gyEYFFObtq96grCLrTAXLZQVlpdabdQyapUgYZSoY7a6V+UN5U7Luz3+9sLYtK2zt0m0urmsM9YZcJs+XKfnPwXrP13plna9FgvDq0ajnXlaobErq/pwKR8z67VLvNqSWz7o2koGme+f7jRER0Z5o2/OAdF/te9c+41L3rCIhoylZYcWp/T3rnPQ6xp9c3700Feo6JLELs55vvbZ8sqYt9YyOyB+wWKivxPmaFYwsjBHoabxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAAClIHQRoBtoRLhe+961YXFZwUWNkOo/IjvQaHXJgKOCUuFHqX1dKGQpoVHhVVn7sFmK7JdUwGLWeZ3arlRI0Z1T8ocrZkltw+xE8OfEsemQpPYpOyXGVds2bEr+oLGI2uUj0qFaqeDJS7cp0FUTNSL0MbWvIyJmXlgb2FckRK+ZAZX1asT9JSvwL6Ws+6rI8U6dR6nrLWtbR1yTLwSviMxgt5W1wW4pmeGGe9c2pYKJs86rIqGJKakgxaxg5D3vqL0/t+9de6xmX1+7zixZz63hJ9e2pcY1IGO9qYDC1G+qzgjXTq33ztRz44KM5aP23Mx7DUREXHpw/gDcvCGhmfsl8u2XzADeY1NBirlWuWr5RIBvXJi+NlO/U1JBilmhi6lrK3W9AHQX3rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQugjQDXRGwGA9/TQqNDDlrkTgXaPkDTlq5piKSIZkHpd/+VT4VJFtzZo3td5kEGNGsNtf84a4ZcyXCl/KCjA7fGztvKlApMxguZxjrTcAbo1j6CL2OvbomrascyDvtmaFghU5B8qoyFjzBn1lSd0Hb2l/OPfyrZZ1baWuo5kH14ZxRkQcnmgrcgyy1ru6VDhjRLGAxsu3zDdfVlhbMsA2ERiYFa6Yeu4UeW4knw8Z86bWmxpX1rO83sDq1G+fzNDGRIhzKoixSF9ZUscwFWxcROoczrq2em1ZG/yZeV6urGdU6f1SJPhzSOQPE0/9TkndC/cd8r50X7WnQGbAYkrqPpB1bjfzdzlAo3jDGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBQVrAAAAAABKQegiQBNlhfGkZIUMpdQbHJQMbUmEAWWFuKSW7w6BL6ltyBvEmDVvM/dLvWGcRYKyUtuadV6mxjVkyqCatswgxJwBhbPOGZlrvoiIEXungwxTwWSpQKe9Mvpq37st1zrvvCYdEpUMukrO2fogwVRgXFZYXGpcf73w4pq2rGOdd1uLnENZfTVrHxbpv0iQYFa4Xl6pe1ZWUFiRfZX3GKbCOCPS95Eiz8LxJ9eem0XCT4vMm9quVDDb7JXpY7Vyzg65+0/dn4qENuaVDPWN9HHJem6mQgdn1xlinDWuvLKee6lzPrVddxV4xqeOVZHAwCwzD85/z0hJ3UeynjspqW0oclzqDbLO+9zO6ivr/pYOyawNXcwKpc37jGwf+0Zy+dTvpFQbQHfhDWsAAAAAAEpBwRoAAAAAgFJQsAYAAAAAoBQUrAEAAAAAKAWhiwBNVCQELxXakhUEM/zk2raseVNSoVqpgJoiwUlZAZOpELpkGE9ivjJI7ausbS0SvtQI9YZxprarSBhSkXlT59uIRPBTRIEQuetzd58ptQ+SoWDHpZdPXTPDIn8g1YjIH2SYUm8QY2r5y3e7JDnv+LG195xUeFdEOsCrmQGRjQgHbJQi/afCPycc3/nhr1nnQJHnTr37MPXcSV1HqWdORMRfC4RZ1qvXlk/WtN26sna+rGfskCn5x5W6P2Qdr7wmRu1xbT8+HQyXUiSwec878odTp9Qb2FdE3t9OWRoRhhlRf6Dp8ElTahsT4X5ZwcZDovY6zDounREymWedWfs6/Tsnfb1MGFt7vu57fG14alboYmoMyeNyQPq4zDqnti0VVhyRvhfXex/oSooEpHeHkHjorrxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUQlulUkl/NLGEpk+fHqNHj+6YnjZtWowaNaqFIwKo38o5OyTbR1xT++3arG/3pr5Vl/p2bKO+l5iS9e3avN8fzvwudBO/T5lX1rfyWv1dvNR3HHN//znS21Vkm7KO4fCTH6tpS50vRcbaKKl9kPfbuVlS53CjvnvazG8tk1+RbyU34nvb+w6p/e5qRP33rKznWSMU+b56SmqsWcel3udpvd+OTd2Hsr6TW+9+SUn9xsj6fnFKVn5HvTkLeTMxinw/uZm/k+pV5BiknrvtY9PfIU8dl9z5IxnzDj8+8V3sAn0VkRpXavuzZO3XIvsgpRG/X7N+O8w8+KKattS39Iuo9zdhs9cL1K/VNVhvWAMAAAAAUAoK1gAAAAAAlIKCNQAAAAAApaBgDQAAAABAKfRp9QAAerqsEJThx9eGkAyLrHCV2lCtw+sbVlJWkGIqpCgV+BIRMfHe2nmTgVYZATmpIL9mBjHmDeHrDEWC+FJSx6VQuN+UQfWNKSM4aUAq6OmC/KvNqzPCMPPOOyFxvUakA6VSAWZD7kiHPBUJyhqSOF55Q/iyFFm+EUGCWeusN0yy3v1Sr1RfWdtaZKyp9mSA78rGBJoWOQfyKnJcigQpRnT+WLOuzWEX1N43i4SiZQUs5lVvAG/6GZ0OJ8zaBylFgvCSy6caE4/j1D03ImJ8nY/uVJhlVthw3sC+rMDB5PG6fi0DfJvUPigSepkKTUw9cyIyjkvGvBG150DqN0KhEL7japuKhEAXCX1MBYo2MzAwM/Tx4Nqmen8/N2q7BCwCWbxhDQAAAABAKShYAwAAAABQCgrWAAAAAACUgoI1AAAAAAClIHQRoBtoVoBYkSDHvY49OtmeCniZMLY2sK49Y73Dp9QG5KQCpVKBgxHp8Kgi4VOpgMWsvlIhR1nBlSmpkKMi4TTJ0MEL0vOm9kFq+eFRO6ai40oFIqX6ygoZzTvWzgjyybverPCqVCDTrKidNyvkKRVelRV01YggwyLhgEWkggCzrqN6li8STthqWWPad8j7ahszbpCp/ZK6j2SFhNZ7zaQC97ICA/M+t1LbFJEOLcyaN6XI+ZZ33qxr89bdUs+Y2rZUaGRReZ8xWQG6qW0tEk6YtQ9SZp1TGzZbJMQubwhw6hpY03pTUs+CCVHbNiBj+SGJ+35K1lhTz816pfZ1ltQzrn1sevnUfs06VsnfXytzDyspdazaM8KxU8/YIr8fW61IQGS9Iad0fY36rQyN4g1rAAAAAABKQcEaAAAAAIBSULAGAAAAAKAUFKwBAAAAACgFoYsAXciQOyrJ9suPu6SmLRX4lyVvsFpW4EwqoKZImE8Rl+9Wu62xW/7lh02pDf7JG9wUkT4Gs+6oDY7KMvv6/AGPjQhZyjqHUn01M4il3r7qXX7PA89NtmcFaK0uM/ho79qgp8xjkFNWOF8q6DQVspS1fL3hrUUCGvOG2GX13ytxHyhyz6tXkftjKhywiCIhdslA0kTAYr3XS9a+LjLWvOdWkf2XOq+yjkuR87Xe8NG85+al26Tbi1ybecNHs8ZfbzBxIdfXNqWex0We0Smd8SxLhQ6mQqSzpJ4xRZZvhKyw4HrHlQ58ToceJudNKHIMU/NmPeNTv5+z5o29a5uy9mGzZIV0Hj62/nBkuh8Bi3Q13rAGAAAAAKAUFKwBAAAAACgFBWsAAAAAAEpBwRoAAAAAgFIQugjQYplhQomAmiLBR6ngpKygs1T4UvvYNxJjyt/X8EgHwSSDh5oYAlJ3eFSBIMS8YUKNkgpXqTe8qgxS+7VRQTKpQKXUPsw6r1LzpoIQh6/D2PKsN3VtHl5nP0VCGztjvSkr5+yQWL6u7gtJjrXA+OsNuMzc18/Whvs14j4wPp2fVuh8qzfIMPc661pj46T2VSpMNCKifUjiWdKeXm9qH6QCWf964cXJ5fdNPfvrDADOehbOSvzOSYXSFglxvqX94URr/aGRqTHU+ywq8ixpxHMvK1yxEUGIWeGAeUMLs4IQ8wZEFtnW4Rnhse0ZAa6tlHUMUtuV3NeJ4NPuKuu8FkQI5eUNawAAAAAASkHBGgAAAACAUlCwBgAAAACgFBSsAQAAAAAoBaGLAC2WChjKMnFsbaBWRDq8aebBF9W0FQm0SoWzFAosrDOkqTvIGybUTFnBRz39eBUKn9q7Nihs4r3pazMrnK4eWddxKmxtRJ0hUfWGAxaZtydp9T4sci9PXQOXZ4VU7ZZ/DKlrpkhYcEqR87XI8zAVWti+d1tNW9bzPHV/2fOc2hC5Pe9IB8u1J8IJI1LhghH/X3v37yLHmSd+/LE4OJSYC03DOZgRBu8uGC7QTqCxIuH0jDmnQhjWwYIQ7IL+BsMuCIMDLxijVDAoNhtppWDszLDrBaOZwAuDw8OJ2WT0DQzHnerz2W89W13Vn+5+vTKX+0d19VNPlR6aeV979OFg2/H94TGMPlNrrbV3480vywJm4XUvuRaG43DitSiK8119PD6AnAXYpl7Po2jjqgWvmXz+JcNwU99raniy5754qmhfs+v52PFaIe4nJDjkmMD28QtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgJsWBRuSn30Zrj5/CQKaA23nf06DjpFQaiDm8MQThQzyp5PHFlaUhT+qRiCbC2PFEXOwgDZPKL3iiJwUSyutTjSlAWdIlODe9G+niXzyOH9v456zZ7oY4+pgcepz98mPcHAh6+Nf93oPFydvjrY1jOGM+F3E2zLPuvD658NtkX7f+c0fn50zvZEEyMHbXjdbC0Oyx0G14eeKNjtr+IY5dg5JzvfL45+GGyLjms2D0fHcMl7hPB+Jjj+rcX7mt3nRNfznutpxeBbdh5n14iXreN7jb6DTd87RXNLa/Hxio7V1bXvEcB+8gtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgIbF8VwomjQLog+a1fk6e609+8J2UTfQRaU2lVRaKpiOKlH1UBmz3HNAlpTZK8ZRQujINPBafz8y+/fiF51sKUnDnjt0Yfh9mguicJqY+OKmakhxN7XGCt6zXW8f0/gMJIFOV8WjbXe13z+/qeDbfEYjK2CQGEYFUuuJX3RwGHALPpch/dOw+cfPAiup0EE7+lpHDYOj3fSc516nxI99ta94fUlm4eiY/DFxdfhY8cGMbOw3I13h9HBKA6dfv6O+5SlrrHZfVY0F2bn1qoNx9amr6dZrDg6hlFMMwqqthaf31O/l2xfn4183Z4w81TZe0Wh0Sh6noU7d/GeEmBOfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRRYVxSZ+DAI5m46YsKyqgcUomhKNzSzOEsdshjGfJcd7FIzpkX1XuxqS2fbPEM2vU/VEnqbqCSFG52sUCsuef5ycGlFw7uDm+OhjFEiMAmp3gthda3Eo6/g0jvOdPRnuayQLDr79618N3z84hteSKFl0XHvihkuFGJd+3TsTXzOKPkZxxeyx0eu+s3orfP4fL4chvluP54mdRdG/220YDHyYzC1j46tZcO/h3SCemrxmGCHuiL+G81NwPc4Ck9H8msUVo2hgNF6y5//pk5HjZWIEurX4c/XcT4wO8SXXwmh+jyJ6rbW1fN516zkuPWNoquj9s/vPLFD4ssMkEBmdh2NjyZmp98o9gXMAcn5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0cU90hPKigIYPQGJLPT1bGRcJdvXXQw0Lhkw2wWbjvuFkaUkzvLH60G45/qad6jTkoHLLKQTzSW7Ot6nBqWmio716EhVIpvfx4aTehxm150gvnR4/6/DbcnrRlGyLHb27HLcNabn88fHcLj/rcXxp7N4V9uqxXG5l1157dtw+0UQk5waUlxSFLjMRBG6KFjY815ZCHGs7P2j492zr9Fjf3x3XKCztfnmp2guimLF6bkVBEGjSOhc173odbP5dWzELZtfo3uP5+8nkc5oW8d4mWrqNWaO18z+rTDHdSszNuS95PtHgc3W4ghw9B30/HsvNTVmGdxXR/t68GB8xDkKpLc2fi6ZHAkFoLXmF9YAAAAAABRhwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBd3CM90ZwlIyBjo4+t9YUfN21sWK1CbG7svs4ViOyJ0C15vKJ4U2TJkGFVc4yXXQiSRp8him/1zHlZ5ChyMTL01VocHew51j3n8dh4U/5Zh4HCs4+GEbkoxNhaa6snwzjh2Chaa/H+X00eG32GbL8iPd/LQQuiUsFxOQjiiq3F8anouN65Hz594zHGuQKRYfQweNzUaGIUA22ttSvXPxs+9lH8HUbhx7d//avBtrnu83qi3dG58fQ0uO7enLxbo2Xx1ejciq79PXNe+NiOAN3tr6JYXDze3lm9NdgWBS5bS+KlD8bv1zZdo3tMDSaPPefW8W+g6HoWje0rJ3GAt333wWBTz2ftiVku9W/O7F799lfDz+q+HqAGv7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIltlyZDL1LjKNkVnxu5rGvr6eFyMaOr798iCL1HsLItyHR+Nj2IxNPV7XTL4lwX3ojhfFAjqCURGYzMLfK7aMEqWhZd6wpdTnr+OIOoXF18Ptl171BGIDLZFx/AiOV8PHw/jU4ePkzcbGUHLAmZRRC7a/4dBWK+11trlcFP6vQbjOBwvN+NjfXH0w2Db4en4QGRFWQgxkl0LoghdFucL9+F02rUkusam7xV83jmiZtk+HQbjLZsborkwOq7ZuRWN1+ixUVSttTgomsVTIz1hudYRyx0r+vytxePtj5fD+SX9DoPvILpGriOMPPVee+xrpoLvJY0eBtt6IqORKDw6W4SwI+gZzU+32/A8is6h1uJjsOS/i6r+G2zqfRbAvvELawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAliC6yV+YKiO27KEzXE3eZQxRXzLyzeivcfvZgGJ0JQ1sb/qxMP1+zSOiNJ8OgUhhZSl53bJQrPIdaHC6KIk2tjQ9NZc+PTD2u2ed/dvLtYNt5cB5lsbQoUHjraHxMMzoGWfhy7PedxadWLfhug93qCeutku8wGscHbfzrRsfl89f/MNjWEzLsMTWQmEUTx75X9v7RvN8zhlbtm8G246PhtrVEH5NA4bpl798zv4yNy2XzQCSKxWXza/R9RaHb1saHCKcel56QYTY/R8crfN1kfhwbC+6JaaaC49ITTYyOazQ/R6Hf1lq78tr4WPGm/13Qc1yizxvd62afKRzHHXPLHMcq+/zhGOi4d7q4OS4w2do/iCMXFM0DUah10+Ma4B/xC2sAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJYgubpG5IiA9IcI5hEGrIJaxDsISsWgM9MSELoLH9kSSpooiS8dxS6grONITuGF7RGO7JxIVhtVuxgMuCqtFY7DH2FBZZslx3bOvUXQwO48jUVCpJ4CWhTejqOrU8XIYPC59/5H71FqyX0kIMDI2VtsTB4zOgR7Ze00NP0bn4SqJisXbh8fqIrgWtZZdo4bH5cprwxhpa3GQNArCZvs1hyXvp6Lj11prq3fjmOLLsnH9LAqodUSUe0KpY+9r5zqu0ev27H80j2XXkmcdn2HT/waJ9IRDl9RzXKYe1+ix0X391PuRHnONi/C62XHvUVUUiDx4MP6cr3huAvvHL6wBAAAAACjBgjUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlCC6uEWWDLHMJQo4XA0eJ+owXRQRCWNxrSMA1hEjylx+/8ZgWxaaGu36+If2BEeicTg1WCdisnlzje1IFLU6vxwf1+uJ+22T6Dw4DsJ2WWztxkfjjksU2GyttdWTYawtO9ZhNDEIqGXvNTY62DO3ZFGwaF97oofR8b4z+tnxuTU1wJvFFaNo4hcXX49+fhRSjCJVrcWfIXxsx7Uoes2eMbga/1bxPNQT+QysI9469doXxRSjkGIaF+z4viLRMbx1b55AeqQnxh6NtyxqG73uKphz1vGZsnmTaZa6r+wZg0vqudeOwpFLhuPnEoesh/cD0b/LWmvtj5cT/20GsAZ+YQ0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBNFFFhXFVaaGf4jDGlEU7PwkiaDMFJyLTA4sThTF1qZ+/p7ozKZDNCwrjPs9GR9SvBqcx1NDjFHotrXxEbV1RLKigFdrw4BaJookdZk653U8f2z4aB3HtSewGDm8dzrYdhZ8V1HsLpOFM6N9/fz1p6Nf987pMKaYBRbH7tfBaRblHT72dhtGubLPGsmCd5Hoe8lcPA7e63TauJgaC54aaMzuE6NzKwqyPv/kD8krLxeeHPvYue4RokhoFpaL5qKeMdjDvwG2x9lHbw62HZ6Ovxb0mDrnzHUe9QTtx4ruh9JQbM/rBvefD+8O54H83zCTd2GjRO5hN/iFNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASRBeZRRYFO58aytpyUQDixzA+FsvCHlEMZ9/DElmwJIpR9oiO69SgFMua+n1FYyAbb6tJ79QXvxp7zqf7GgVJOx7XFUIMooVRACx7ryhcGb1/TxB1LlFULPqsPVGz1emr4fax0b+eMRSNl4vsfa6PevvUtUcfDrZlYyAKP0af//n7n4bPv9OxXz0xxbEujn4YbMsCZg+zYHIgvv8avm7PPDj1fFnyfIvngfi6f/ZgOLZ7IoBT7wc2fVyjEGNrcVD04YLf4aZjadm1LDq3JgeAt0j0WbNw51Q959bYx2ZjKHpsFkE+P1l/JPTWveH7n3fM+akZgvLb9G/LbdpXIOcX1gAAAAAAlGDBGgAAAACAEixYAwAAAABQggVrAAAAAABKEF1kFleTsN22BxwiWWAyFAQW1xJsmRjW2CdLjrddHO895opPjX3d7DWnfgfROZ/FFaNQak/UKzTxfJ8abeyRzY/RNSIKCWah2SjE1xN/WjKeFUULn7//dLDt7Xd/FT6/JyZ5fPrNYFsUDMxiv9ExPA7aU1mEMAt6RqLXOD4a7v/ZkzcnPb9HFEJsrbXDNjxnzoJjeHw/fv8wbjcyPNpa33FtwTlzGDxsm65FPZ+/57oTBznXH1VrrS+wPdXUa+Sm9exXNJdPve6mx2/B75BpesZQT0h7DlMDk3O8/z/ah22x7/8Gg13hF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBdZBZZ1CCKo1SNIkT7FUVzekJd2x6wWIfoGJw9GFa9sjDc6HBREmvriWRmwbeXrZJ9ip5/+f0bg21XXvs2fH7PuTH1PJpjbM51Ho993bmij5FsHgj3oSOaOMf8uGT8KzuHzk+GnyEKzqWhrLHH8DLeHM0D2dwwNnqYfS9RIPLO0fGo92ktiT8Fc2Zrra3aMPoXhgjjp6cxxZdl38vY62Zr4+fXTHRco89157vhsc703LtE+x/FDbPnRw7vj3pYay35/C0eRz1B0oqymObY8Zq59ujDwbbzifNzJhov0bjIouVTI3K7Khrv4fz+ZHwAeFcjdNtun8Z1VZv+N3tPjNJ4gd3gF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBdZFFRHCUMSk2URRl6oolRrKEnuBJFX54JQIyPYHSEj3rcujdDMKRjXw8+Hm7LIk9LRpa2KU4yNvpS4TNNDRzO8RmyqNcc0mjiSNn1YerrRnqOS/S9ZGG9KLZ2EcTibrc4jHecBBLHisJ06fG7Pu29ovGehjeDfYjigD3Pj8ZLFuyLZOPt+P5fB9uuHv0w2HbWEZjsGcMHp8P96gk+b7uL4Fi31tr5ZTAG2vBYZcc6Omej57cWh6B75vcokrlP3+GSeuby6Dvs+TfEpiN0VfUERSNVj2H4b7sdPY/H/ju4J1g91ZLRcKAGv7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIhsXhWhuPIkDDmNdTbZPDUD0RECiuEhPtLFqcIRp5ojF7YLo3MjiKpuOl0bndhadiWw60nT2IK74RcG5aH7OZHG8saK4YPb+0TUimt97vpep30F2fYlCglEIsUf2/CgMF4Xp5tLzHUQB3GhsZtHE6HWjOOLnrz8Nn3/nu+PBtuj4tdbaRbAt2tdsfo/GQM880BOOjGTHYFvMNT/2hMCzefNl2RiaGvJe8hoRjZeeuXRqZHSqqccq+16i8dLzHfa8V2SOMZQ9f+xjV6evhs/v+ffW5fdvjH7sUrLxmkVZ163qvwGj+/JdjU4uKbru+Pci/MQvrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACU8MqLFy/GF5U27C9/+Uv7xS9+8T///ec//7n9/Oc/3+AeAdQQBZF6AkFjAy9Tn99jyfeaKgt1ZQGul831maJxkcURpwZexo7B1sYHHrPnjw1NZeHOnkBkFLyLoodZGG9s8C6KAGbvlYnG25LnS3YeRMbuaxQsnEtPzLInPtVzXCJjx2Br8Xnc8/7bHnqaGo89DMKdrcXHe8k5cw7ZPDo2MLlNY2Wb7ie2STY/n3305mDb1DBzhfE2NhB55bVvJ71PhXvtyKaji1VDtbDLNr0G6xfWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEr4l03vAMCSomDHLoQ5rj7+crAtCjpdnfg+Sx6rLJhX0fP3Pw233zkahvSieNc6QjLRazwLHpsF2KaGDHtEEbmHdz8b/fyx4zA6B1rrixNGxysLLI517dGHo/aptdbOL4ehqexzRcJ5IJgvWou/2+yxkVXH88eG3S6Ofhj9/J5wZ0/MMRob0bjIzqHDYNvq9NXBtofX43MgfN0H4UNDUays5/Nv+3WzJwqWzY9zBN+WjJX1mDpeeiw1trZpvO6CnrEdjYEvLr4ebLvxXhxPHRsY77l3yh4bXbsrxCDH2vZoYc8+bftnBX7iF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBdBHbS5fdvhNv/ePntwnuyjCgYsk2hrJ4w3KZFx/XHd38VPjaKAd34aPhZ5/pe4ljbuNhda/F+ZcG/i5uvjH7s4f3RuzCLsedLa63reEXufDcMb4aRprvx86P9yuKpY7+vucJFU+N2PXNWFsebQxScOw8iobfuxccq+gzRa6YxzRkCtFH8tbXW2vXhpqrXjTlE4c7WWjtow/G2TbG1TcvmkX0aW9t0TzZVdA9+5bX4/nvs9fhqi+8Jo8dGUd7smvE8CDymjw0C27e/GkaYs/k1iyuPFd9/xteH6B46emzV+OtUu3puwb7xC2sAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJbzy4sWLuC5S0F/+8pf2i1/84n/++89//nP7+c9/vsE9AqoS+FlWT5ht26MvPZ81Gm9TY3FZFCwSRh+TsFsU6Ok5X6LXzb7X6BhMDZj1xIiiQGR2XA/v/3XSfqVxu5Gi/cqO69jvoGd+XDIU1jMu0kDhS7J46+r01cG2z19/Gj42ioX1zAORKAqWiY7B1Hnk+GgYCmuttbOP3hxs26b5uee4RAG0njljV6OL0bkVzYMXRz+Ez3eftT+ieGwmm1+vPfpw1POzOWvse419n3/0XmOv51GcsbU8PPky/4YBqtj0GqxfWAMAAAAAUIIFawAAAAAASrBgDQAAAABACf+y6R0AmIO/8zaP7O/qRX+PNfubwNv091AjY//Ob7q942/XRn9jtedv384h+6wXG96v6G/PZn+/+Pj+8O8Xt2T3o79ZGf3t2p6/5dnzd6nb3eGm7Dt4NnLe65kfl5xLo78bmv1N4lWwLfw7wyfx/kfH8M7pcfjYs18P/6Zvz3iPvu9oW/b30qN9PUzeK5ofev7W8u37w3Ecje3sb7lW/LvO0TyayeaMdnOz89uSomPwNPr8D+bfl0qW/Hv+2yL6m/etxXNZ9vebz0de4x4mxzq8RiR/LzsSXXeyv7d9J9gWzYXvrN4Kn//Hy9G7BUDzC2sAAAAAAIqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJYguAjspi5LteyCn57jceG98aCwKbd14Mnz+XKJ9zSJ24ecKYm2txWG06LHHp0HEr8Uxnijwkwped9Xi50eRoMvvPx1sO7wfh+VaECKMjlUL4oZLC8dxsF9ZoDI6hg+vfxa/2fVx779KxkA0htKw20ibnsfCcZHIzq0ohBcdwzTiF4S6ovhWFm18fvH1YNud7+JzY3IoNtjXSHZcLx4EMcnkuIw9Bj3zUDS3XMnOlw2Lzrd1nC89UdVdNPZ83WVjg8tRALi18fPINt2/Zp+p53wJ56dgbGVzeeTaow9HP7bn+dG8+fz94X3WnaPkPguALn5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UVgJ1WM01SQHZeeaOFYh/f/Oun5mTC8E4TdskDPec/nCmJpURDpInn6+WUSjHtJT0woi6VFwbizj94c/brR9xUGJpP3vwgCk9nnil6jJ14VBRZ79jUNLI4UnUdZZGrqeRQdl03Pbz3RyFWLv8PoM4TBwNN4DEVxvdXovWrtyt1vB9uePorf63YbfrfRGJoaS+sJmKXhy+A8iIJ5D10j6dAz502Nsqah1YKia9TUOT+77vXcJ8whjAsmodpItv9h3PreD4Nth204j7U2Phre873c+Cgew0/b8D7n7eA+a+r976av8QBV+IU1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBJEF4G9UjFgVkEUo7n8/o3BtmuPPux41WGcprU4YPY0CPZlooDY2OhOay0MKfaI3iuLrU2VRQPHir7XLHx0GGybGlmKYkqtxeGiKFCZHdezB0eDbdGxSqOTJ/HmitLw5Ab1xFuz+FQ0DnvG+9mT4XcbjfeeczOLvY2NHj5Ljkv0/L45bxgga+/Gj40+w61744/BHAFedlMWrz24OTy3s3MrvE5PvEbPJbonurg5vCeaHEcMQpStVYhRDt//YhXPLavTVwfbsv0fOz/1XAu7Aosdc97Yf0NkQVIA+viFNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASRBcBCL2zemuwLQrjtdYXs4wCN+cnHTGhkUGmq4+/HP+aE/V81nC/gohga619/vrTwbae6GEU/jmO3yrU815h9DAI42XCY9XxXpEs+Df2/VsTnOsJKbY2/L6zMFu7Pu79s4DZ8f3hGOiZh6YGeKNjMDW0lUbVgjmvJ+wWRUrTGOUMkc/sveYIHl8Ewbrs/aOIW3bdiCJy+6QnXnocHKt0vAbfV0+QtSdeGukJvX7++nDb1BDitofAo7mltdZWbfxxHXseznUt7nndqRHkaGxHcepsHuqZs7ZpHAFk/MIaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAmiiwCEeoItPY+NAjFzhId6YmuZKHATRb2iaE722POT4X5lQaprjz4cbOuJRPWIAo/R+/dYtfi4RMcrOlbH98eHzqK4XxbBi7b/6ZPh5//psePDjdsiC0xGou/lWRZSPPln9yiXRc0uv39jsO3ag+F4TWNvQSwse+wqiIdG0cWzj+LIaBT1ut3GBxp7AovRY8NjODJeuw5Lxr+iuWUd7z82qJk9Lo2PblB2LYxCemFUNxnvD68HEbuRkdVMtq9ZCHqK7Hx75+iHYOv4+4nItofxsvuRnvEe3RP2HJex93Q9wcQsZHgx8rrx/P34fuLt5Jx5WRqzDOa3fQ/CArvNL6wBAAAAACjBgjUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlCC6CMCiophOTwRubGBnHTGjKJYWSgJmUYynJ6AWBY2iOGJrrd357njUa2bPn+P9P0/CQ9FjD4PHZe/1zuqtwbaDB8PjGsXyWuv4XltrD18b97ixUbbW4vHes089ovG2Sh4bhaZWLQhVJeN9jnhqdr6vTodjqCdI2hMFu3Uv2IeOIOjYsZHNDVl4MhIerwUDiz3mGC9Lir6v47iVFn7WKAKXxd6mCt8reWwUdnt4NzhfZoisttYXRl7S1LHZc5+zT+YIbPeMoanX3ui9rrU4WH1+Mm4uz/Z/m+ZHgHXwC2sAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJYguAlBST3SmJ2a0ZLTm+fufjnpcFkyMooNj44rZ86fq2ddM9Nhrj4aRorc/SqKJl8NIUhRAW0fIMA6rjY9RRsG9w/vj3qe11trNV8Y/dqSe4zI1gJY9f2xwLjtfo3P+8P5fO/fu/8qO6/HpMLAYjuGbPwufHwVFn54OH9sTjdwF2xQQuzj6YbDt/HJ8DLNdrnFnZhadB0sGMpccF9HnOk/ePzouPUHUuYKaDEVj6PL7N5JHT7tP+OLi68G2a4+S+irsIJFQ5uQX1gAAAAAAlGDBGgAAAACAEixYAwAAAABQggVrAAAAAABKEF0EoKRVEDprLY7YPTv5bO7d+ae8/etfDbb96ZM/DLZlwb6pgcXo+VNDjOsIOUaBxUgWqRobHewJwUTj6ifDON7D68Pxlu1TFOWK9mv17ovw+esIR07RE82ZGtjpCTxGxyX6DrLwafR9HyedrLHnVhZNjAKLh/dOhw9M5rye4yJyNI8oErrtsljxeTTn3J15ZzZk6vkSzTnhud3mGUPmhvGuvPbtgq8b3w+MjZf2jBXBOzbNWGNOfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRWCvCENsXhR6urj5ynBbECprLY7YbZN3Vm8Ntp09iGtvWTBurJ5A4tjAY/a4sWG61vI43UASoVu14fOjsF12XKPg3tlHb4aPPT+ZNt7GRpaIv6+eoFQ0N9x4L45ZHt7/6+j96omfRqLx/jDY/yyCd3g63Nco/LkOPRG3SPS9ZK8ZhcWy0OrY94quJevQs18VRd/B1Q3sxxLmmnNXT4ZzSRjFTQKVU8+tyDZdS+b4/K1t1zEYu6/bPt8ArItfWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAoQXQR2HtZ6CqM6eyosZGingBaJjqu0etmwbyDj38/+r02LgiArdowNHZ47zR8+p2jYezt4uiH8LHR8Ypib1mIMYoWRhG7KFjYa+x7Zd91+NjT4WNHxx1b3/kezhlJ7G3sebRN4ai5ROfB1OOSfa89c060X6skCBoZGz/NgoGHwbbsPIzmh6nHcNPP7xGF8bII3lRVz+Nov6LA5S7c40Rz8bOZvoOpQc8KY2OTpn7+y+/fWNOerFc0Bg+zaOLEuWiucCVAVX5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UVg7+1CeGiqKMgU6YnmZDHLMFwUxM7CeFbb/u/rxpPhccmOa0/gMArDXQSPu3L5bfIKw2hh9B1e3BwGE1tr7drIkGJrrbXryS68JItRHgT7Go2Xpy3e1/A1g2hj5vj+Xwfbnl3/bPTz9z2+lRk7D61D13cwMZQVxUOPj4bn9nHcfOyShSOnmBr6+uLi63D7ldeyueifNzbq21rfGOiJEG/argYWN23JoOe2iALKrbXR1/gec8wX6xDd056fzBOqDSOjzm1gh/mFNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASRBcBiEOIHbLAYiQN8b1sR2NGPVGw1emrg21zBfuiwOGm44BzhfGiCN7ocdn6YpiMt6vxqOfvfzrYdue749HPj8JmWZD0sAXbO86N6JzrCX1F58a1Rx+Gjz1faI5fMua5pOy6u9R5tI6Y5VRXH3852Bbt16avZRXMcVyOj76Z9P49+5Bddz9//elgW9VA41jZsXpmHAN7xi+sAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJQgughsvcvv3xhsqxBciYJIUSBoLlFoKnv/VfDYG0+G+5/FGc93NJa2lCw6NEfcLw1kBmOgJ9I012PnEAbrJgbgKgTIqOmd1VuDbatgCD68/ln4/IPTYSQ0M0dgMJr3s3nk4uYwEMl42Txy9uBosG019878f/TMbdnnmkN0DmTjNbonys6hqXHqTZvjWhQFYVtr7XYb3rt8cfF1+NipY+PK5ebv91829TNlYzAKRq+evJj0XrsaOwZ2g19YAwAAAABQggVrAAAAAABKsGANAAAAAEAJFqwBAAAAAChBdBHYehUCi5Eo5jNXgC0KvCz5/pu26YhfFMJprbXzu78Z9fwsCHV4/5/epW5Tx8scj+0JZfWYGqa7OPphsG11+uqk12R3ReM9nDOux88/PvpmsO1hR9B0DtsU6pordhx9rz3x1Z7rVhTgPXvyZvjYpcZANo9u+t4j+vxRtLK11s5PhvuVhokZyO5xovEaxWdb26770jiEPQxPLvqZOoLR0bmxZBB1qm0aK8B6+IU1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBJEFwF2wL6HSKLPn4WTLm6+Mti2evJi2mODx7UWh9WigFoWVzz7KIhqncSPHSsLkEUBregY9sTWeuJV0X49Kzquo/EWx5ggFs0jBy2Lt3422Lbp8Tb13O7RE/eLHnuRBPd6oofRY3veKzxewfOzANoXF18Ptl27OYy9tRaHBPddFgcM46fJ9Tw6Zy/ff2OwrWoIfElPT4Ox+WDx3Vi7h9eHc/HBaTxvVxTNWVUDulMDkdv0WYGcX1gDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKOGVFy9exKWpgv7yl7+0X/ziF//z33/+85/bz3/+8w3uEUCfnshThdfdZlmcpee4zHFco8hTFoSaaur+G1fjhfGuxFzfN9stG0PReMmii1GoNYrHTnV47zTcbn7YH+u4xm7a2Jhma3Gwbcnr+bbbhWtkNF7OgtDqNu1/Nt4j2x4tzGLB2/65YE6bXoP1C2sAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJfzLpncAgOm2KXK0afsUEpz6uXpiPPsuiyxlcTx42fHRN+H2KFZ2POx8paJAYjY3RFGqq4+/HP38irI4YCT7XPt03RhrF47V1Gtc1bheRdmxiuac20fjr5sPr3/2T+9Tr20KLEZ6zsPoe9n2cGZ0LQNq8wtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgIsSMRuOT1BKGIXN1/Z9C5svaenPxtsOzgdhosqBoro0xOkig3HSmutPX//08G2d1ZvhY+9eDA8Z89Pxoe2np38drBt2+fMdVwLqkYDmSYa71Fsjj494c2x38GfPvlD+Pyx8+46rrGrJy8G2248Ge5rdu+0Tdf56Hhfee3bDezJP2fbr1vAT/zCGgAAAACAEixYAwAAAABQggVrAAAAAABKsGANAAAAAEAJoosAC7r6+MvBtiwYE8VZsoiIINQ8VqevLvI+l9+/EW7fdOBmmwJBVUXH8PZXH2xgT3ZfFOpaMhw61/ly8HHwXpfxe80xtnY1Fryrn6si9y77ZY7vNbsfOr873BbdV/dEcQ/vnYbbn438XNl4P2jDfYjeq8J5sen7z6nOHhwNtkXRzNb6QqtRJBSYj19YAwAAAABQggVrAAAAAABKsGANAAAAAEAJFqwBAAAAAChBdBFgQVFIJYuztCAkUyHEsu2iY5gFV56dfLb294/DbOKG++Tp6c8G2258lI3BeoGfuQJqk6OJHY/d96CoCF4cQWa6bR9DxsV00fzSMy6mxnJ75vcoxpgFt8d+ruyzRoHtK3e3O264TXrup7JrZHSf8qdP/jDYtu3RSqjCL6wBAAAAACjBgjUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlCC6CLBhP777y3B7FPaoGGDbBSJLLCkKQt0++iB87O2v4u2RKOY4h1UyZ0Xxqh6HwXl4fjI+1DU19FXV6smLwbYbT+JI59XHPwy2HTwYfi/nHccluu5kodqeuXSO76ZnDJw9OFr7+7P9snsyhtJoeEHZvh4G2y6S14jmjOi6l0Uf3/71rwbbnp0kbxaI7gcujoZzfmtxOPLh9fWHxHdV3/XJv81gLn5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UWAmUSBlyjmc3HzlfD5WbQFWL8syDQ2vJM9P4o0HR99M9j2+etPw+fHkaYk8HP9H+zg/5IF8yLhe90d/fQ+c73ulou+gyxwGUUqo1DX1PGeiZ6/ZJitZ/+jmKUxuKxtCqUKYQ+t47sK54fgujnXPDL1M0T7ddDi+XkVbLv8/o3Btui6/5M3h5vejR/5+et/SF5jP/TEivf9PIbK/MIaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAmiiwAziWJrUUgxDcmIPy0mi+6ILI23ZFgtipf2uPr4y8G26HxtLR4DYSg1eX50zkeRpWuPPoyff7L++OqujuGe4F/VsNtSvrj4Otw+ds6LzqF1WDLCN9dnGGubgoNz2abPu6vz5lKy2O9FcO08vHc62FZ1rPTsVxRjvPPd8WBbFmN//v6ng23vrN4KH3vt5vCe4nyP/l3REysG6vILawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAliC4CLCiKzlxNHjs1yNTz/LGPXUfAbGqcb+x7zRVby8JBkbFRrywi2BMFmyNEONVckaQ5YmU94/L8ZNp7XXnt22CrGBDTReN4dfrqYNtckc85rju7ap8+a1XRGIwigKwhWJeEBPfJ6smLwbaHdz8bbLvdPgif//avfzXYdvFg/HHd9zkX2D5+YQ0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBNFFgMTYuF4aqwvCPdFj5wqe9Lzu2MeuI561VOBlHe/z7OS3a9iT9crigNHYimJrn7/+NHz+lZMoBLg/1hG+hKWc343jiLePhrGuh9fHR72mRnF74q9TQ7FTbfr92bzoPiG997s7887MbGo0MZtz5nCw5RHidB4dOedEc3ZrrR3cHB6X46NvwsdeHP0w2BbdEwJU5hfWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCv2ENkIj+fnHP32oObfnfQMws9Xepcawz0d8d/dMnfwgf+87qrcG2q2vfo59Efzd0yb8Fuu96zpfs745u+pzr+bvS0d8ojcbg8TCx0Fpb9rPu4t+H7/muor+hfXHzldHPP7x3Gm7f9HjdJuH31fG3zSffE3aI3uuLi6/Dx1579OGo18zGUGhH71+XNLaLkv0d9fPg+be/insEZ0FH54/X9/veI/t730BdfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRYAOUUynaqgLdtX4cysOHP3xcn378v8jsMhYPcG+HqsnL4Ybk+hiFPB6eP2zNe/RT6Lo4JKmRh+jMNpFEDprbZ554MaTOMwWRTaXFIX8qt4PRWG67Lu6/P6NwbY/Xn472Db1njD9/oJ9vfYoHm+jv4MkpDjXXDRWtP8Hbfy43vR1NxpXPdYRpI3m/egYbvpYzSUaw+k152TmnQH+aX5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UWAiarGhAAYL5vLo3jT1Hm/J2oWhaJ6olx/+uQPg23XHn0YPvb46JvBtqn7enHzlfjBwfYoZJiJXjcKjWXHKgqjZcG7sa97frLc/cCzkzgqu2lRDDL7XtOx8ZIwHNqWPQZXXhsGFnuMHduHyXjtmnOSmOJYm76vjd6/59yc+vmniqKRrbXR+zU12thafG5ExzCKibY2fbxv2jqOIbB5fmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRWCvRHGRbQ+LAPOE8aCCKJp45/5x+NjPX386fOx3w8c+f//T8TtwMdyURRsj53d/M/qxUbAviyY+/+TrwbYrd+cJ41UNHFY0x7GKxkVreYjvZVm0cRVt7Aj2he+fxN56zoOlZEHVitfO7DuM5sdbV4ZzxpKfKYrP9sg+69SYZDQGDz7OHjvtvTYtOoZZ5HXsPNJazfMYdplfWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAoQXQR2CtRYHGbojNAbJ/O1ywQJAa0PaLxmgX/rj0aRtyyaGIUQzw++mawLQoxZqKQ4+G909HPnxoKy87t6DzY9lAYsakhx1v34vu8syCQODXAlt1TTj0P5jDXdXOOCHIWzIvmvPPL8dfCnn29/dUHg21PT382fODUuF/y/Cgc39r4uTyS3TfE8+v23GNE46Vn/6PvGlieX1gDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKEF0Edh7+xRrA7bfNoWPNi0LGV59/OVgW8+1YGpULNqvLCoWiUJjrcUxxiiwGIbCsvcKHtsTNZvLHOdBz3fA9nCft6ypc2E0P7cgkJmJgoGrJy/Cx14ErxvHDVt7eH0Ybm/Xh5uy8OaP7/5y+P7BnJNFbe8cDefyKIq7DtE+HLSaIcZoDJ1PDLU+vP7ZpOcD6+EX1gAAAAAAlGDBGgAAAACAEixYAwAAAABQggVrAAAAAABKEF0Ett7U+BUA22VstHCVPD+KX0Whrtba6NhX9vwo9hVFxc5P4utW9FmfJUGpg4/Hvf/zT4ZxxtZau/JaEBVbUBhbW1AWZmt3l90Ptld2/1nxXjWLA0bm2tdsLntZFtAd+5q37sWf9fDxcNvbT36VvO649+85VmHg8f34sVFAd+qcnV23DoNtUdT38vua1xJ20+2vPgi3i2TuLr+wBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCC6CKw9TYdrYEKxsaTeoJQUzk3p+sJ7u2iMEjVWmttGMU6PvpmsO3h3QIhngWDfed3fzPy/Tc/hsZG6LK5yfwC01Q9h6J5/+Lmh6OfP1fgco7XjeKE2XXv6enPBttufBTHKMfeJ4TXjNbC60bffeL6j1UW3tx0rJfliCvuH7+wBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCC6CJQ0sHHvw+3p3EQypkj4tdaaz+++8vBNsGV6TGbqc+Pvu+5xsCmzXGsDpPHrk5fnfRePSp+Xz++O4wrtrZf4cnos2bxqW06LhWDbxc3X9n0LrCjxgZFK54XS4tChOdJvDb698Jcx3Cp7yb6/D8ZftYl5/yez99zT7jp+1egLr+wBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCC6CKwcT0BspZEV1hGFvrqiR6Ko+ymffpee+KEUST0WcexCgO010c/vWtfK36HFUOQFQjNzmP15EX8P9x7MIOxIcbssT12NfAYnrNFz9foHjoKvabz0BZFYXvGdiR8bHA/Bew2v7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIjBaFtybqidAxjzGhlB8V7D5UNW2hxR7bPv+Ly26Tj87+e0G9gSoZN/n0rlilj1Gz8VJNDL8d1jRwGQkO9bRdxMGq13LYO/4hTUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlGDBGgAAAACAEkQXgdHWEbuIgiEHH/9+sG315MVs+7CLeiJskX2P8cCSovM1OwfP7/5msO2gDefM7LHspmy8zBVH3nc95yywful9bhDni+zq+ZrN+XP8e+ny+zcG26689u3k140Cixc3X5n8usD28wtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgKLGhsBuXUvjquMjQtuU1wl+0zRZ+iJK27TMYBtt+S5mUVpo3nTPLBfrj7+crAtinLtQsB4jhBidlyWiln2vM8ufIfMYxcjoVGYr7X9Og+izxqF6+eyjsBiJPpc4T3V3VneHijML6wBAAAAACjBgjUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlCC6CJTUE4eJwhwV4oQ9+zDWtkdzYN/Mcc5mkakl40vUNDXWW1F2Dm36c0WBxCh62VoejHtZdm5v+rOyXXbxXvHi5iub3gUWNHbOBHabX1gDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKEF0Edh6U+MyS8aMdjGEA/smmjOqnttRiPH87m82sCdsyr7Hq7JrfHRcsmjixYOjwbYlz6Oq8wvr1xMZ3YVxcfurDwbbzj56c/jABaOL2ZyxTcc7+gw9c96mP2u2X8B+8QtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgJ7rycssqvRG2C8Jc/5y+/fGGy78tq34WOjCFwUXYRdFV2jV6evho99eP23o1/3xnu/G268O/rpMFl03emJhle9V314/bPhxpPl9+N/q3qsIln89da94dh4djJtzotCiFnUd2o08SwI3QL7xy+sAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJQgugjQYZtCLMA8loyv3vnueLDt4WuzvBU7KgpthRHB5LFVLXk9nhoQYx77FMK+/dUHg227+lmZburY2KZrAbC7/MIaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAmiiwAwk30KQu2TJb/Di6MfBtsOHvw+fOzz9z8dbDs+GkYbDz6On39+9zedewf74cd3f7npXSCwT9fTh9c/m/R89yMAbBu/sAYAAAAAoAQL1gAAAAAAlGDBGgAAAACAEixYAwAAAABQgugiAMxE0Gg3LRmvil738vs3wsdee/ThYNvqyYvBtuP730zfMbbas5PfhttvvPe70Y8Ftsem70ei62Zrm9+vHsKVAMvyC2sAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJYguAgB02HRk6Z3VW+H2w3Y62BbtaxTWa621djJpt2AWWawtMte5KTwJ02z6urkOu/AZALaJX1gDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKEF0EQCgQxSBWzLGlL3X7a8+GGwLg3Xv/nLdu8SOuPr4y8G2ucb72Jii0BmZTc/FAMB8/MIaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAmiiwAAHapGvR5e/2y48XK4aWzsjv0Tje0o5pnpGVtVzyO2hzG0m8Q0AWjNL6wBAAAAACjCgjUAAAAAACVYsAYAAAAAoAQL1gAAAAAAlCC6CADsvSwWJ/TEvnt6+rPBtltH4orAPLZ9znA/AbAefmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRQBg7+1TDGmfPit9wljYg6PBph/f/WX4/Gcnv133LgFbJppH9um6s0+fFWBOfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRQBg74WxuSaexG7Kxnvk/O5vhhvvrnFngJ3iusk22fdIKFTmF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIK/YQ0AADuq5+9V+7udwDbx94eZyniBuvzCGgAAAACAEixYAwAAAABQggVrAAAAAABKsGANAAAAAEAJoosAwN4T3WGbCCkCu6onpLiL89vtrz4Itz+8/tnCewKwWX5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UUAYONuvPe7wbZnJ78NHzs2yNQTpsvsYtBpF/REubaFkCKA+U1cEeAnfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRQBg47LAYiQKMoXRxj0PN63DXHHDqa+77VEugUWYxy4GWcnnzLHf7dTnA7A8v7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIgCw9XqijcyjJ3a2T6GrsYHFfTomMBfn0W6a+r0aFwDbxy+sAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJQguggAbNyN93432CakuF32PWp1+6sPRj92348VAAD8I35hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UUAYOMEFtl2Zx+9GW5/dmlsw1JuXfmvwTaR0/1iDGye7wBYB7+wBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCC6CIAACTGxqOuPv5yid0B/gFhN3rGgDjgPBxDYB38whoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACaKLAAAL2qbI04/v/nLTu7Bx0XezTd8hADHzNkBdfmENAAAAAEAJFqwBAAAAACjBgjUAAAAAACVYsAYAAAAAoATRRQCABW1T5Onq4y83vQsbJ7AIAADL8gtrAAAAAABKsGANAAAAAEAJFqwBAAAAACjBgjUAAAAAACWILgIAsPeiuGJrAouwTURSWZLxBjAfv7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIgAAe0UoC3aT85glGW8A8/ELawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAliC4CABsngscconHVmrEFwDxcdwDWwy+sAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJQguggAbJwY0Tz2KWa5T58VGE8EjyUZVwDr4RfWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEoQXQQA2FHiT8C+Mw9SlVgwQM4vrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUILoIAGwVkaLlnD042vQuhG6897vBtqsb2A8A+Ge5dwHI+YU1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBJEFwGArSJSNE0Urcycb/hYZ/v6zBgARsrmEdcSKjJeAX7iF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBdBADYUTfe+91gW9VgYRSaEpkCpjKPsE2MV4Cf+IU1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBJEFwEANiwKDrbW2o/v/nKw7erjL0e/7tV/eo9+ku3XWFk8aurrAgAAu8svrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUILoIALBhX1x8HW6/9uhosO38ZHzIMIo29gQenyXRxLGy98pijADrZh4CgO3jF9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAAShBdBADYsLd//atw+6q9GGy7dS8OiJ09GAYaI1m0cawsYAZQkbgiAGwfv7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUILoIgBAUc9Ofjv6sTfe+92k508lbAYAAKyDX1gDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKEF0EQBgw7I4YhRSvLj5Svwi2fYJbl35r8E2cUVgm0TzWGvmMgCozC+sAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJQguggAUFQUY8wCYqvTVwfbDj7+/WDb+d3fjH5/UTJg25nHAGD7+IU1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBJEFwEAtkgWELv91QeDbT2BRQAAgAr8whoAAAAAgBIsWAMAAAAAUIIFawAAAAAASvA3rAEAdsDD659tehdGu3Xlvwbbsr/NDQAA7Be/sAYAAAAAoAQL1gAAAAAAlGDBGgAAAACAEixYAwAAAABQgugiAACLElgElhJFXlszDwFAZX5hDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAE0UUAAAB2krgiAGwfv7AGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUIIFawAAAAAASrBgDQAAAABACRasAQAAAAAowYI1AAAAAAAlWLAGAAAAAKAEC9YAAAAAAJRgwRoAAAAAgBIsWAMAAAAAUMK/bHoHevz973//P//9/PnzDe0JAAAAAMDueXnN9eU12blt1YL13/72t//z3//5n/+5mR0BAAAAANgDf/vb39p//Md/LPZ+/iQIAAAAAAAlWLAGAAAAAKCEV168ePFi0zsx1n//93+3J0+e/M9///u//3v713/91w3uEQAAAADA7vj73//+f/40882bN9u//du/Lfb+W7VgDQAAAADA7vInQQAAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKMGCNQAAAAAAJViwBgAAAACgBAvWAAAAAACUYMEaAAAAAIASLFgDAAAAAFCCBWsAAAAAAEqwYA0AAAAAQAkWrAEAAAAAKOH/AQXa6mbOh53UAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 4800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the grids\n",
    "fig = plt.figure(1, (16, 6), dpi=300) # 确定图形高为6，宽为8；图形清晰度\n",
    "ax1 = plt.subplot(111)\n",
    "datatest.plot(ax=ax1, column='VehicleNum', legend=True, scheme='quantiles')\n",
    "# plt.legend(fontsize=10)\n",
    "plt.xticks([], fontsize=10)\n",
    "plt.yticks([], fontsize=10)\n",
    "plt.title('Counting of Taxi GPS Trajectory Points', fontsize=12);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "78fce7d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NGzfG0KFDpa/ddNNNAIDvvvvOtPzTTz/FyZMnAQCPP/64dN3x48ejevXqjtq0YMECFBUVoVq1anjkkUek75k4cSLi4+NRWFiI+fPnO9pPRenbty+AkpzZgwcP+rweHR2N999/H7Vr18b27dsxZswYjBgxAr/88gsaN26MGTNmuNoefz9Dl1xyCRo0aODz89JLL/m1n+LiYvz444946qmnMHHiRGN/d999t/GeevXqYe3atbjuuusAAHl5efjvf/+LyZMn45ZbbkH9+vVx+eWX4+233y43399tUVFRePjhhx2vn5iYiB49egAA1q5d6/d6n3zyCX755RfUr1/fqKWQ0T+zn376qWn5zJkzAQD33nsvLr30UrvNLpdbn8vatWvjvvvuU+6nX79+aNy4Mc6ePYvZs2f7vP7Pf/4TANC1a1e0a9fOwZH4ys/Px9atW/GHP/wBy5YtAwBce+216NChAwBg7ty5AICBAwfi4osv9lm/Zs2amDBhAoCSa5ibm2u7DX/6059wwQUX+Cxv166dkUt9/nexP2rWrGn8GyP7/qGqix1rAgBpEZhde/fuxW+//QYA6NWrl/J9+j/2x48fN4p93HbFFVdIl1944YXG73pbg6FTp07Sjr3YhvP3v2nTJgBAkyZNTMUzopo1a+Kyyy5z1Kb//e9/Rttq1aolfU/t2rVx+eWXm94fSqdOncKUKVPQo0cPXHDBBYiLizOKiMQ/MFQjWzRp0gT/+te/AAD/+te/8NFHHyEqKgrvvfceateuXSHHcL4jR47g8OHDPj/lTZ7x1FNPGccdExOD1q1bIzMzEwUFBUhJScGSJUt8jqd58+ZYvnw5tm/fjueffx4333yzqZDx22+/xfDhw3H99debijeDqVWrVtJOzvmWLl2KwYMHo0WLFqhRo4apeEz/4z07O9vv/eqd8BMnTqBhw4bSP2waNGiAP/7xjwBKCph1+/fvx6+//goAuPHGG/3ep7/c+lx26tTJNPLM+aKjo3HvvfcCgPGZ0OXl5eGDDz4AUNIRDcS1115rXKuEhAR06NDB2Pall15q/H7u3DmjQ+vPvxder9f4jrRD9W8BoP4u9kdCQgJ69uwJAOjTpw8mTZqEr776CufOnbO9LapcYkLdAAoP9erVM37/7bffTB1Qfx05csT4/aKLLlK+Txxt5MiRI8pOZCBq1qwpXR4TU3bLFxYWur5fq/2LbTh//0ePHgUAy3Nf3rktj359rNbXr494PUPhhx9+QM+ePU0dqOrVqyM5Odn4o0UfYSYvL0+5nQEDBmDAgAFYsGABAOChhx7C1Vdf7Xp769ata/xe3j/Uhw4dMv1/s2bNTB05mRo1ahhDHEZFRSExMREtWrRAz549MWLECNO+z5eeno709HTT/pcsWYLnnnsO+/fvx/LlyzFx4kS/I+aBsOpUe71e3HXXXUbnCyj5vNSuXdvoNObm5iI/P7/ca34+vWN87tw55ahEorNnzxq/i9eradOmfu/TX259Lv35g+Xee+/F5MmT8f3332Pjxo3o0qULgJKnhydPnkRycjJuu+02O833IV6rmJgYJCUloW3btrj55psxePBgxMbGAij5jBQXFwOw9++FXU6+i/01Y8YM3HTTTdi6dSsmT56MyZMnIy4uDp06dcLNN9+Me+65x/ETYIpcjFgTAJiGYdq8eXPA2/N3TF47Y/dWdvpTA6tzEujThUi5NsOHD0d2djaaNWuGefPm4fjx48jLy8ORI0dw6NAhU5S6vHOyb98+rFixwvj/devWGf+gu6lt27bG7/pwd2558MEHcejQIRw6dAi//vorfvjhB/z3v//FQw89VG6nWqZBgwa477778NVXXxmdsZkzZ1ZISkh0dHS5r//f//0fPvjgA0RHR2PSpEnYvXs3CgoK8NtvvxnHP3DgQAD2Pgf69e7Tpw+0ktoiyx+ZYH4mAv1cWp1boOSPdj0VTU/9AMoi2HfddZfjVDPdwoULjWuVnZ2NrKwszJs3D3fddZfRqT5feccuvhbq76TzNWnSBJs2bcJ///tfjB49Gpdddhm8Xi/WrVuHCRMmoFWrVvjiiy9C3UyqYOxYE4CSx3d6FLC8MVPLI0ZMfv75Z+X7xAhkSkqK8bsYTVY9mnaSYxcp9POnR9dUrF632n551wYouz7italoP//8M9avXw8A+OCDDzBw4ECfyM/5kV+ZoqIi3HHHHcjNzUWbNm0QHx+PtWvXYvLkya63+cILL0RaWhoA4OOPP3Z9+26rX7++UXNw4sQJ44lJKOl1F/feey+eeuoptGrVyielyp/rfj693uP777+3vW7Dhg2N3/ft22d7fSsV/bnUa1zmzp2LkydP4vvvvzfGcw40DcSOOnXqGH8MlHfs4muh/E5SiYqKwu9//3tMnz4d//vf//Dbb79hzpw5aNKkCU6cOIE//OEPTA+pYtixJgAl/8gOGDAAAPD+++/jhx9+8HtdPbrTvHlzo/Pz+eefK9+vRw/r1q1rSgMRc0RVX7TBnLFL/wfcjXxzJzp27AigJKdT9Q/46dOn8e233zravpijqfoDJScnx5TzGSri9VcVi4lRaJUnn3wSGzduRPXq1bF48WK88MILAIBnnnnGVvGbv0aOHAkA2LFjh5ELHM7EGTSdTFDjNv26q6756dOnHX0HXHXVVQBKcvHtXvcmTZoY6Qh2/2Dy5zuloj+XvXr1QqtWrXDmzBnMmTPHiFa7WbToj7i4OFxyySUA/Pv3IioqyviODDbxjzm7/x7UrFkTf/jDH/B///d/AErS1Zz8QUeRix1rMjzzzDNITEzE2bNnceutt1pOdXzixAkMGDDA+MfA4/Fg8ODBAEpmnZNFln799Ve89dZbAIA77rjD9FqbNm2MWeD0fFiR1+vFc889Z//A/KQXDuXk5ARtH+Xp3bu30YZnn31W+p5p06aZpha3Y8CAAYiJiUF+fr7RwTzfs88+i4KCAsTGxhp/aIWCOJvn1q1bfV4/deoUnnnmmXK3sXLlSjz//PMASs5beno6xowZg759+6K4uBh33nknTpw44Wq77733XiOt6r777sO6detc3b6/1qxZY3mfnD59GgsXLgRQ8kexOOV5qOjXXXbNAWDy5Mk4deqU7e3eeOONRuR5zJgxlufm/Bz5ESNGACjJqbWTKufPd0pFfy49Ho8xesgbb7yB9957D0DFRqt1t99+O4CSGWq3bdvm8/rp06fx4osvAgBuuOEG6Sy/wSAWkaqunVUUWpzR1J80Hao82LEmQ5s2bTB79mzExcUhKysLHTp0wAsvvIAff/zReE9xcTE2b96MSZMmoUWLFsY/zLrHHnsMycnJ+O2339CrVy/jcT5Qktvaq1cv5OTkoE6dOj5DS4n/aDz77LP48MMPjS+vXbt2oX///sp/cN2gD/d08uTJkEQba9SoYQxF9q9//QsTJkww/oE/deoUXnjhBWRmZjoezeKiiy7CmDFjAADPP/88nnzySeMfjZycHDzxxBOYMmUKAGDcuHGmR+AVrW3btsYIFiNGjDBF6Tds2IBrrrmm3E7x8ePHMWTIEHi9Xtx6662mTsOsWbPQsGFDHDhwwBgFwi3VqlXDkiVL0LBhQ+Tk5ODaa681OtjiP8QFBQX4+uuvMWbMGMepPeWZPn06mjRpglGjRmHFihXGMI5A2f195ZVXGkWT48ePd70NTvTp0wdAyf3/z3/+0zhnhw4dwtixY/Hiiy/azikHSq7LG2+8AY/Hg02bNuGqq67Cp59+arome/fuxVtvvYXOnTvjjTfeMK3/4IMPonXr1igoKEDPnj3xr3/9yzinhYWF+OGHH/D000/7FIDq3ylr1qxRTm0dis/l8OHDER8fj23btuHEiRNITk42giIV6c9//jOaN2+OwsJCXH/99fjkk0+MXP/vv/8ev//977F3717ExcVZ/iHtpuTkZKOgctasWSgqKvJ5z/r163HJJZdg2rRp2LFjh9FuTdOwfv16/PnPfwZQUnxZkU8CKAxU6KjZFBHWrl1rzCil/8TFxWl16tQxTbHr8Xik0+yuWrVKS0pKMk1OIU5pnpycrK1evVq6759//tk0sUVsbKwxaUrNmjW1VatW+TVBTHlU62uapvXs2dN4vWbNmlrTpk21pk2bmibf8HdKc5XyJiApLCw0piUGyqYm1qdNHjJkiDZ06FANgHbfffeVe5wyBQUF2m233eazfX+mTq7oCWI+/vhj01T01atXN6Yjrl69urZixQrltbz55ps1AFrjxo213377zWfbn332mTFj4T//+U/Ta4FMaa47ePCgMdOd+HlJTk72Od/R0dHasGHDpBMz6e+xOy3y7bffbtq3fj+fPyV8VFSUNmHCBFemPS+vreV9ZkQnTpwwpoXX2ydOaX7fffeV+xmzmtL8vffeM01pHRMTo9WtW9c0LTUA7ZlnnvFZd8+ePVrbtm2Vn01IJpb57bffjCnngZLpsfXvlA0bNhjvC+Rz6e/sjue76667jG3bnWnxfP5MEKPy/fffG5P3ACUzperf+SidlGfevHnSdf2ZIKa89pR3v0yePNnUhsaNG2tNmzY1ZjgVj1n/t6pu3bqm76xatWop/62jyosRa/Jx1VVXYefOnfjggw9w5513olWrVqhWrRpOnTqFOnXqoFu3bnj88cexY8cOvP/++z6V3j169MDOnTsxfvx4pKenw+v1QtM0pKen48EHH8SOHTvQvXt36b4bNWqEr776Cvfee68RMUhMTMTQoUOxadMmY3KIYJk/fz7Gjh2LNm3aoLCwEPv378f+/fsrLD0kJiYGH374IWbMmIHOnTsjISEBRUVFuPzyyzFjxgy8++67RlucPLqPi4vD3LlzsWDBAlx//fWoW7cuTp06hbp16+L666/HwoULpdc0FPr164fVq1ejb9++SE5ORlFREerVq4fhw4dj06ZNxhiy53v99dexZMmScser7tWrFx566CEAwAMPPIAdO3a42vYGDRrgk08+wcaNG/HAAw/gsssuQ7169XD69GkUFhaiSZMmuOmmm/DSSy/hwIEDmDVrlqMhLlVmz56NL774Ao8++ih69uyJRo0a4dy5c8jPz0ft2rXRqVMnjB07Fps3b8YLL7wQNqMtJCcnY/369XjggQfQrFkzREdHIyYmBtdccw0++OADvPnmmwFt/84778SPP/6IiRMn4vLLL0diYiJycnJQrVo1dOjQAX/961+xYsUK6SQ2LVq0wObNm/HGG2/gmmuuQe3atXH69GnUr18fXbt2xeTJkzF27FjTOrVr18bq1atx++2346KLLkJubq7xnSIWaIficzlo0CDj91CkgeguvvhiZGVlITMzEx06dEBMTAwKCgrQsmVL3H///cjKyjJGgqlIjz32GKZPn47LL78csbGxyM7Oxv79+40Ux06dOuHDDz/En//8Z+PznZuba9xLEyZMKPffOqq8PJoWokotIrJN0zQ0adIE2dnZePfddzFkyJBQN4kobHTr1g3r1q3Ds88+i0cffTTUzQlro0aNwt///nd07drVlLJHRIFhxJoogsyePRvZ2dmIiYlRRmyJqiq94Lp+/fohbkl4O3nyJN59910AMHKBicgd7FgThZk77rgD8+fPx7Fjx4xlhw8fxvPPP28U2w0dOtTV1AGiSKZpGv79738bw1R27do1tA0KYwUFBRgzZgxOnjyJxo0bh6RokagyYyoIUZhJTk42hjCsXr06YmNjTePbdu/eHUuXLjUNCUVUVU2aNAlTpkwxcpb79esXERP0VLRXXnkFr7zyCo4cOWJM2T5v3ryQ5C8TVWaMWBOFmVdffRW33347UlNTER8fjzNnziAlJQXXXXcd/u///g+ff/45O9VEpU6ePImioiI0bdoU48aNM2ZvJLOcnBzs378fmqahQ4cOmDt3LjvVREHAiDURERERkQsYsSYiIiIicgE71kRERERELmDHmoiIiIjIBexYExERERG5gB1rIiIiIiIXxARjow0aNEBeXh6aNGkSjM0TEREREbnuwIEDqFGjBg4dOuRo/aBErPPy8lBYWBiMTRMRERERBUVhYSHy8vIcrx+UiLUeqc7KygrG5omIiIiIXJeRkRHQ+syxJiIiIiJyATvWREREREQuYMeaiIiIiMgF7FgTEREREbmAHWsiIiIiIhewY01ERERE5IKgDLdHREQULJqmQdO0UDeDiMKcx+OBx+Op0H2yY01ERGGvuLgYx48fx6lTp3Du3LlQN4eIIkRcXBxq1qyJunXrIjo6Ouj7Y8eaiIjCWnFxMQ4cOID8/PxQN4WIIsy5c+dw/Phx5OXloUmTJkHvXLNjTUREYe348ePIz89HdHQ06tevjxo1aiAqiiVCRFQ+r9eLvLw8HD58GPn5+Th+/DguuOCCoO6THWsiIgprp06dAgDUr18fSUlJIW4NEUWKqKgo4zvj119/xalTp4Leseaf/EREFLY0TTNyqmvUqBHi1hBRJNK/O86dOxf0wmd2rImIKGyJ/wgy/YOInBC/O9ixJiIiIiKKAOxYExERERG5gMWLREREAKB5geICwFsIaMWApgEeD+CJBqJigeh4wMN4FBGpsWNNRERVm+YFCs8A3gLJa1rJ695CoOhMSec6pjo72EQkxW8GIiKquryFQEGOvFMtU1xQ+v7CYLYqrOTl5WH27NkYNWoUOnfujPj4eHg8Hjz//PMBbXfp0qXo0aMHkpKSUKtWLfTo0QNLly4td50dO3Zg0KBBSElJQUJCAtq1a4dp06bB6/UG1JZQ2L9/P1577TXccMMNaNGiBeLj41GvXj306dMHH330kePtrl+/HjfccAPq1KmDxMREdO7cGe+8806562RnZ2PEiBG48MILUa1aNbRp0waTJk3ipEwOMGJNRERVk7cQOHfSwYpayXpxtUpSRCq53bt3Y+jQoa5u89VXX8WYMWMQExODXr16IT4+HsuXL8eNN96I6dOnY/To0T7rbNy4ET179sSZM2fQuXNnNGvWDKtXr8a4ceOwbt06zJs3Dx6Px9V2BtOdd96JdevWISEhAVdccQWuuOIK7NmzB59++ik+/fRTjB07FlOnTrW1zUWLFmHQoEHwer24+uqrUa9ePXz++ecYNmwYtm7dKt3enj170LVrVxw9ehQXX3wxunfvjv/973+YPHkyVqxYgZUrVyI+Pt6tw678tCBo27at1rZt22BsmoiIqpDi4mJt+/bt2vbt27Xi4mL3Nuwt1rSzxzXt7LEAfo6XbKeS+/HHH7V77rlHe+utt7RNmzZpjz/+uAZAe+655xxtb9euXVpMTIwWHx+vrV+/3rS8bt26WkxMjPbDDz+Y1iksLNRatmypAdCmTp1qLD916pTWtWtXDYA2c+ZMZwcYInfccYf25ptvaqdPnzYtX7p0qRYTE6MB0D799FO/t/fbb79pSUlJGgBtwYIFxvJDhw5prVq10gBoX3zxhc96V199tQZAGz16tLGssLBQ69+/vwZAmzRpkoOjCy92vkcC7cMyFYSIiKqeojMAAh3PVivdTuXWsmVLzJgxA3/6059w6aWXIiYmsIfd06dPR1FREe6//3507drVWN6mTRs8/vjjKCoqwquvvmpaZ9GiRdizZw/at2+PsWPHGssTExPx+uuvA4Dt6G6ovf/++7jvvvt8Jj7q27cvRowYAQD44IMP/N7ejBkzkJubi5tvvhm33nqrsbx+/fp48cUXAfieo2+++QarV6/GBRdcYLwHAGJiYvCPf/wDsbGxeO2111BYWHVSnwLFjjUREVUt+ugfbiguKNke+U3Pox44cKDPa4MGDQIAfPzxx36vc+mll6JFixbYtm0b9u3b53JrQ6N9+/YASqbh9ld556hv376oVq0aVqxYYcqb1te58cYbfdI96tevj+7du+PEiRNYt26d7WOoqtixJiKiqsWtTnWwtleJ5eTk4MCBAwBKOsTna9SoEerVq4f9+/cjNzfXWL5161YAQMeOHaXb1Zfr74t0P/30EwCgQYMGfq/z3XffAZCfo7i4OFx88cXIz8/Hrl27jOVV7bxWBHasiYioanF7RI8qNEJIoPROde3atX1SIHSNGjUyvVf8XX/Nn3UiVU5ODt59910AwM033+zXOidPnkROTg4Ae+eoKp3XisKONRERVS1acXhvrxI7ffo0AKB69erK9+gdbv29/qwnWydS/fnPf8bRo0fRpUsX9O/f3691xOO2c46q0nmtKOxYExFR1aIFWrQY5O1VYlrpuSpvWDytnPOpWq+8dSLJ888/j3//+9+oU6cO5syZ4/fwgf4cv+w9VtejspzXisSONRERVS1uj3UcQWMnh1rNmjUBlEw6o3LmTMlIK4mJicYy/XfVerJ1Is0777yDxx57DDVq1MCyZcvQokULv9fVzytQdi7OJztHVtejMpzXisaONRERVS2e6PDeXiXWpEkTAMCJEyeUnbns7GzTe8Xf9df8WSeSLFmyBPfccw9iY2OxcOFCdOnSxdb6tWrVQlJSEgB756iyn9dQYMeaiIiqFrdnS6wCsy+6JTk52eikbd682ef17OxsHDt2DE2aNDE6ikDZ8HObNm2Sbldffskll7jd5KBbtWoVBg8eDACYM2cOevfu7Wg75Z2jwsJCbNu2DfHx8UhNTfVrHXF5JJ7XUGHHmqiqyj9e9kNUlUS7PD2z29ur5Pr27QsAmD9/vs9r8+bNAwD069fP73U2b96Mn376CW3btkXz5s3dbm5Qffvtt7jppptw7tw5zJgxQzoGtb/KO0dLly5Ffn4+evbsiWrVqvms8/HHH6OgwDxs5OHDh7FmzRokJSWhW7dujttV1bBjTUREVYsnyr3OcHR8yfbIR1paGtLS0vDLL7+Ylo8ZMwbR0dF48803sXHjRmP57t278be//Q3R0dEYPXq0aZ3+/fujefPm2Lp1K6ZNm2Ysz8vLw8iRIwEA48aN82nDsGHD4PF4kJmZ6eKRuWPXrl24/vrrcerUKUyfPh3Dhg3za72ePXsiLS0NX3/9tWn5vffei1q1amHJkiVYuHChsfzIkSOYMGECAN9z1LlzZ1x11VU4cuQIHn74YWN5UVER/vKXv6CwsBCjRo1CbCyfyvgrsHlJiYiIIlFMdaD4HAKb1txTsp0qoH///jh48CCAsrzbN954A4sXLwYANGzYEIsWLTKto09Ecv502KmpqZgyZQrGjRuH7t2747rrrkNcXByWL1+Os2fPYurUqaZ0BQCIjY3Fe++9h169emHcuHGYO3cumjZtijVr1uDgwYO45ZZbMHz4cJ92e71eY/1wc/vtt+Po0aNISUnBt99+K+1Yp6Wl4ZFHHjEt27NnD/bv3+9TpFinTh3MnDkTt912GwYOHIgePXqgXr16WLFiBXJycjB69Gj07NnTZx+zZs1C165dMX36dHzxxRdo27YtvvnmG/z000+44oor8Pjjj7t63JWeFgRt27bV2rZtG4xNE5Fbzh4r+yEKU8XFxdr27du17du3a8XFxS5v/Jz5c2D3p/icu+0JY02bNtVQ8leI9Kdp06Y+6+iv7d27V7rNjz76SOvevbuWmJioJSYmat26ddOWLFlSbju2bdumDRgwQKtbt64WHx+vtW3bVnvppZe0oqIi6fsvueQSLSYmRtuzZ4/dQw46q3MKQOvRo4dyvZUrV0q3u3btWq1Pnz5acnKyVr16de2yyy7TZs6cWW5bDhw4oA0bNkxr0KCBFhcXp7Vs2VKbOHGidubMGReONPTsfI8E2of1aJr7gxRmZGQAALKystzeNBG5RcytrlY3dO0gKofX6zUin6mpqYiKcjntwlsInDsFe5FrDxBXk0WLYe748eNISUnBPffcg3/961+hbg6FkJ3vkUD7sEwMIyKiqisqFohP9j/nOjq+5P3sVIe9VatWITY2FhMnTgx1U6gKYY41ERFVbZ4oIDaxNO+6oCSKrRWXzKjo8ZSMUx0Vy0LFCDNgwACfkS6Igo0dayIiIqCk0xyTACAh1C0hogjFjjVRVSXmVTPfmoiIKGB8pkVERERE5AJGrIlIHr1m5JqIiMgWRqyJiIiIiFzAjjURERERkQuYCkJEZkwBISIicoQRayIiIiIiF7BjTURm+cfNw+8RERGRX9ixJiIiIiJyAXOsiYiIAGiFZ4CcH6GdPQrknyiZ2jwqFqhWG56EFCC5FTyx1UPdTCIKY+xYExFRlaYVFUA7/DWQsweAZn6xOB8oPAXt1AHgyCZoyS3hqd8Znpj4kLSViMIbU0GIiKjK0vIOQduzCMj5ET6dat93l0S09yyClneoIpoXFnbu3IkXXngBPXv2RJMmTRAfH48GDRrg1ltvxZo1axxvd+nSpejRoweSkpJQq1Yt9OjRA0uXLi13nR07dmDQoEFISUlBQkIC2rVrh2nTpsHr9TpuR6js27cPHo9H+dOgQQNH212/fj1uuOEG1KlTB4mJiejcuTPeeeedctfJzs7GiBEjcOGFF6JatWpo06YNJk2ahPz8fEdtqMoYsSYiM324PbGAkUPwUSWk5R2Ctn85oBXbW7HobMl6TXvDU8NZ5yeS9OrVC7/88gtq1aqFK664Al27dsX27duxaNEiLF68GFOnTsUDDzxga5uvvvoqxowZg5iYGPTq1Qvx8fFYvnw5brzxRkyfPh2jR4/2WWfjxo3o2bMnzpw5g86dO6NZs2ZYvXo1xo0bh3Xr1mHevHnweDwuHXXFqV+/Pvr06eOzPCkpyfa2Fi1ahEGDBsHr9eLqq69GvXr18Pnnn2PYsGHYunUrpk6d6rPOnj170LVrVxw9ehQXX3wxunfvjv/973+YPHkyVqxYgZUrVyI+nk9o/OXRNM3qT3TbMjIyAABZWVlub5qIKgo71hQGvF4vdu3aBQBITU1FVJQ7D1q1ooKSSHXRWecbiUmAp2X/Sp8W0rt3bwwfPhwDBgxAXFycsfytt97C/fffj+joaHz33Xdo27atX9v74YcfkJGRgejoaKxcuRJdu3Y1ll955ZXIzc3F9u3b0bp1a2OdoqIipKWlYc+ePZg6dSrGjh0LADh9+jR69+6NDRs2YObMmRg+fLiLRx5c+/btQ/PmzdGjRw+sWrUq4O2dOHECzZs3R25uLhYsWIBbb70VAHD48GF069YNP/74I7744gtce+21pvV69OiB1atXY/To0Zg+fTqAkvN92223YdGiRZg0aRKeeuqpgNsXSna+RwLtwzIVhIiIqhzt8NeBdaqBksj14a/daVAYW758Oe644w5TpxoA7rvvPvTu3RvFxcWYN2+e39ubPn06ioqKcP/99xudagBo06YNHn/8cRQVFeHVV181rbNo0SLs2bMH7du3NzrVAJCYmIjXX38dAKTR2KpkxowZyM3Nxc0332x0qoGSiPiLL74IwPccffPNN1i9ejUuuOAC4z0AEBMTg3/84x+IjY3Fa6+9hsLCwoo5iEqAHWsiIqpSSkb/2OPOxnJ/KtleFdW+fXsAwK+//ur3Onoe9cCBA31eGzRoEADg448/9nudSy+9FC1atMC2bduwb98+v9tR2ZR3jvr27Ytq1aphxYoVprxpfZ0bb7zRJ92jfv366N69O06cOIF169YFseWVCzvWRERUtfhVqOgnzQvkutRJj0A//fQTAPhdaJeTk4MDBw4AKOkQn69Ro0aoV68e9u/fj9zcXGP51q1bAQAdO3aUbldfrr8vkhw+fBhPPvkk/vSnP+Ghhx7C/Pnzce7cOdvb+e677wDIz1FcXBwuvvhi5OfnGykRQOU+r6HC4kUikhPzqplvTZWIdvaou9s7cwSRVzIXuD179hgRz5tuusmvdfROde3atVGjRg3pexo1aoRjx47hwIEDaNeunWm9Ro0aKdcR3xdJdu7ciaefftq0rEmTJvjwww9xxRVX+LWNkydPIicnB0D55+h///sfDhw4YDxpqMznNVQYsSYioqol/0R4by8CFBUVYdiwYSgoKMDgwYNx2WWX+bXe6dOnAQDVq6sn2tE73Pp7/VlPtk64i4+Px5///GesWrUKhw8fRm5uLjZs2IAbbrgBBw4cQJ8+ffxObRGP2845qoznNdTYsSYia9Xqlv0QRTqvy4VYWpG724sAo0aNwtq1a9GiRQu88cYbfq+nD0RW3rB45Q1WplovCAOcBV3Dhg3xxhtvoEePHrjgggtQq1YtdOnSBcuWLcMf/vAH5OTk4Nlnn/VrW/4cv+w9VtcjEs9rqLFjTUREVUtUrLvb81StrMqnn34ab775JurXr49PP/0UderU8XvdmjVrAgDy8vKU7zlzpqQYNDEx0Vim/65aT7ZOJHvssccAAJ9++qlf79fPK1B2Ls4nO0dW16OyndeKwI41ERFVLdVqh/f2wtjrr7+OJ598EklJSfjvf/+LVq1a2Vq/SZMmAErGXFZ15rKzs03vFX/XX/NnnUimj+F98OBBv95fq1YtY0IZO+eoqp3XisCONRFZyz9e9kMU4TwJKe5ur/oFrm4vXM2ZMwejRo1C9erVsWzZMnTo0MH2NpKTk41O2ubNm31ez87OxrFjx9CkSRPTzIN6sd2mTZuk29WXX3LJJbbbFI5OnCjJ27cTKS7vHBUWFmLbtm2Ij49HamqqX+uIyyvLea0I7FgTEVHVktwKcGscD08UkNTSnW2Fsf/85z8YNmwYYmNjsWjRIlx11VWOt9W3b18AwPz5831e0yea6devn9/rbN68GT/99BPatm2L5s2bO25XOFmwYAEA+F0UCpR/jpYuXYr8/Hz07NkT1apV81nn448/RkFBgWmdw4cPY82aNUhKSkK3bt1sH0NVxY41ERFVKZ7Y6kCyS53hpBYl26vE1q1bZ0w6MnfuXPTu3duv9dLS0pCWloZffvnFtHzMmDGIjo7Gm2++iY0bNxrLd+/ejb/97W+Ijo7G6NGjTev0798fzZs3x9atWzFt2jRjeV5eHkaOHAkAGDdunE8bhg0bBo/Hg8zMTL/aXJHeffddaQrGwoUL8cgjjwAA/vKXv/i83rNnT6SlpeHrr82zft57772oVasWlixZgoULFxrLjxw5ggkTJgDwPUedO3fGVVddhSNHjuDhhx82lhcVFeEvf/kLCgsLMWrUKMTGulyXUIlVrYoLIiIiAJ76naGd/iWwac1jEuCp39m9RoWpfv364ezZs2jevDkWL16MxYsX+7ynW7duuPfee03L9IlIzp8OOzU1FVOmTMG4cePQvXt3XHfddYiLi8Py5ctx9uxZTJ061ZSuAACxsbF477330KtXL4wbNw5z585F06ZNsWbNGhw8eBC33HILhg8f7tMur9drrB9uZs6cieHDhyMtLQ3NmjVDtWrVsH37duzcuRMA8NBDD6F///4+6+3Zswf79+/3KVKsU6cOZs6cidtuuw0DBw5Ejx49UK9ePaxYsQI5OTkYPXo0evbs6bO9WbNmoWvXrpg+fTq++OILtG3bFt988w1++uknXHHFFXj88ceDcwIqKXasiYioyvHExAONroG2fzmgFTvYQDQ8ja4p2U4lp088snfvXuzdu1f5vvM71uUZO3YsWrVqhSlTpmDNmjUAStIeHnroIeVkM1deeSW++eYbPPnkk1i1ahW2bNmCli1bYvz48XjggQcQFeX7EH7r1q2IiYnBHXfc4XfbKsof//hHpKSkYMuWLVi7di3Onj2LlJQU3Hrrrfjzn/+MXr162d7mgAEDsHr1ajzzzDPYuHEjzp07h/T0dIwcOVL6hwdQUii5efNmTJo0Cf/973+xaNEiNG7cGBMnTsRjjz1mSh0hax4tCIMUZmRkAACysrLc3jQRhZpewMgxrakCeL1eI/KZmpoq7TwFQss7BC17lb3IdUxCSae6hn/TeFNoHD9+HCkpKbjnnnvwr3/9K9TNoRCy8z0SaB+WOdZERFRleWo0gKdlf/8KGj1RQHIreFr2Z6c6AqxatQqxsbGYOHFiqJtCVQhTQYiIIpU4/CGfIDjmiYmH56Lu0C64DMjdA+3MkZJpyrWikslfqtUuGVIvqWWlL1SsTAYMGOAz0gVRsLFjTUREhNLRQuq1c2sgPiKqgpgKQkRERETkAkasiYgiFdM/iIjCCiPWREREREQuYMSaiOzRo6QsnCMiIjJhxJqIiIiIyAXsWBMRERERuYCpIETkjJj+wbQQIiIiRqyJiIiIiNzAiDUREREA7fQJaNvXQPt1N3DsZ6AwH4itBtRrDM+FreFp2x2exNqhbiYRhTF2rImIqErTzp6G9uV70HasA7zF5716Esg9Am3Pt9DWzYMn/Sp4etwFT0JiSNpKROGNqSBERFRladk74H37IWhZqyWd6vN4i6FlrS55f/aOimlgGFi1ahU8Ho/yp0uXLo62u3TpUvTo0QNJSUmoVasWevTogaVLl5a7zo4dOzBo0CCkpKQgISEB7dq1w7Rp0+D1eh21oSJ8++23eP7553HrrbfioosugsfjQbVq1cpdp7zzrf/87ne/s9UOr9eLV155Be3atUNCQgJSUlIwaNAgbN++vdz1nFynqowRayIiqpK07B3wLngBKDpnb8UzufAueAFRAx6Gp1F6cBoXhlq2bIlu3bpJl9v16quvYsyYMYiJiUGvXr0QHx+P5cuX48Ybb8T06dMxevRon3U2btyInj174syZM+jcuTOaNWuG1atXY9y4cVi3bh3mzZsHj8fj6NiCafLkyViyZImtde6++27la8uWLcOxY8fQvXt3v7enaRoGDx6M+fPnIzk5GX379sWxY8ewYMECLFu2DCtXrsQVV1zhs56T61TVeTRN09zeaEZGBgAgKyvL7U0TUTjiqCAUJF6vF7t27QIApKamIirKnQet2tnT8L79EHAm1/lGaiQj6u4XK31ayKpVq3Dttdfi7rvvxttvvx3w9n744QdkZGQgOjoaK1euRNeuXY3lV155JXJzc7F9+3a0bt3aWKeoqAhpaWnYs2cPpk6dirFjxwIATp8+jd69e2PDhg2YOXMmhg8fHnD73PbCCy/gzJkz6NSpEzp16oQGDRogPj4e+fn5treVk5ODBg0aoKCgAD/88IPpHJVn5syZuOeee9C6dWusWbMG9evXBwAsWLAAAwcORMuWLbFz507ExJTFW51cp3Bl53sk0D4sU0GIwkn+8bKfSFKtbtlPJLafqhzty/cC61QDQF5OyXbIlunTp6OoqAj333+/0VkDgDZt2uDxxx9HUVERXn31VdM6ixYtwp49e9C+fXujUw0AiYmJeP311wEAU6dOrZgDsOnhhx/GU089hX79+hkdWqfmzZuHgoICdOnSxVaH9uWXXwYAvPjii6Y2DBgwADfddBP27NnjE1V3cp2IHWsiIqpitNMnSgoV3djWjnXQTp9wZVtVhZ6fO3DgQJ/XBg0aBAD4+OOP/V7n0ksvRYsWLbBt2zbs27fP5daGl/feK/lDbsiQIX6vs3fvXmzfvh0JCQno27evz+v6ObVzzlXXidixJiKiKkbbvsa6UNFf3mJo29e6s60wt3v3bjz66KP405/+hMceewz/+c9/bBcN5uTk4MCBAwBKOsTna9SoEerVq4f9+/cjN7fsicLWrVsBAB07dpRuV1+uv68yOnDgANasWYPY2FgMHjzY7/X0c3LxxRcjNjbW53XZuXN6nYjFi0ThpTLkJ+vHwLxrClPar7vd3d5Bd7cXrtavX4/169eblrVr1w4LFizwOy1B76zVrl0bNWrUkL6nUaNGOHbsGA4cOIB27dqZ1mvUqJFyHfF9ldGcOXOgaRquv/561K3r/3eqk3Pn9DoRI9ZERFTVHPvZ3e0drbydOQBISkrCQw89hI0bN+L48eM4fvw4Pv/8c3Tp0gXff/89rrvuOr+jlqdPnwYAVK9eXfkevSOnv9ef9WTrVDZO0kAAZ+fO6XUiRqyJKFgYpQ49SRGpd89Hxu9RLW8qe6EqXa9C+6MxlL+9Ane3F2YuvfRSn3SA3/3ud1i7di2uvfZarFmzBq+//joee+wxy23pA5GVNyxeeYOVqdYLwgBnYWXTpk3Yvn07kpOTceONN9pa159z7mSdyn7OnWLEmoiIqpbY8ifnsL+9eHe3FyGio6Px8MMPAwA+/fRTv9apWbMmACAvL0/5njNnzgAoGfFDp/+uWk+2TmWiR6sHDRqE+Hh795vVOdeXi+fO6XUidqyJiKiqqdfY3e2lNHF3exFEz60+ePCgX+9v0qTkXJ04cULZacvOzja9V/xdf82fdSqL4uJi/Pvf/wYA3HXXXbbXd3LunF4nYseaiCqAN2uW8UNBphoLvXSc8aiM4caPOP74jg5NjZ/KznOhuxNaeBqG/wQZwXLiRMlQg/5GLZOTk42O2ObNm31ez87OxrFjx9CkSRMkJSUZy9u3bw+gJCVCRl9+ySWX+N/4CPH555/j4MGDaNq0qa3ZFnX6udu2bRsKCwt9XpedO6fXidixJiKiKsbTtjsQFe3OxqKi4WnrO813VbFgwQIAwGWXXeb3OvpYyvPnz/d5bd68eQCAfv36+b3O5s2b8dNPP6Ft27Zo3ry53+2IFHoayF133eVoyvbmzZsjPT0dZ8+exbJly3xe18+pnXOuuk7EjjURVQBTlFSMqHKWRtcYTwTEWTDFHwvpW/YbP5WdJ7E2POlXubOt9KvgSaztyrbC1VtvvYXjx82fU03T8NZbb2HatGnweDy4//77fdZLS0tDWloafvnlF9PyMWPGIDo6Gm+++SY2btxoLN+9ezf+9re/ITo6GqNHjzat079/fzRv3hxbt27FtGnTjOV5eXkYOXIkAGDcuHE+bRg2bBg8Hg8yMzNtH3c4OHPmDBYtWgTAOg3k66+/RlpaGnr27Onzmn5uJkyYgCNHjhjLFy5ciI8++gjNmzfHLbfcYlrHyXUijgpCRERVkKfHXdD2bg1sWvMayfD0sJ/zGmmee+45jBo1Cm3btkXTpiWpQt9//z327t2LqKgoTJ8+XRqx3rVrFwD4pB+kpqZiypQpGDduHLp3747rrrsOcXFxWL58Oc6ePYupU6ciNTXVtE5sbCzee+899OrVC+PGjcPcuXPRtGlTrFmzBgcPHsQtt9yC4cOH+7RBn8BGNjFKRVm2bBkmT55sWnbu3Dl06dLF+P8nnnhCOivi4sWLcfr0aXTq1AlpaWnl7ufMmTPYtWsX8vN9R70ZMWIE/vOf/2DRokVG5/vYsWP48ssvUa1aNbz33ns+58jJdSJ2rImIqAryJCQi6sbR8C54ASg6Z38DMXGI6jcKnoTKPyLC+PHjsXz5cmRlZeHzzz9HYWEhGjZsiLvuugujR49Gp06dbG9z7NixaNWqFaZMmYI1a9YAKEkneeihh3DTTTdJ17nyyivxzTff4Mknn8SqVauwZcsWtGzZEuPHj8cDDzyAqCjfh/Bbt25FTEwM7rjjDtttdMvRo0fx1VdfmZZpmmZadvToUem6YhpIIKKiojBv3jxMnz4dM2fOxNKlS1GjRg30798fTz/9NDIyMqTrOblOVZ1HC8JAhPoFysrKcnvTRERUnko246XX6zUin6mpqdLOUyC07B3wLn0NyMvxf6UaySWd6kbprraF3HX8+HGkpKTgnnvuwb/+9a9QN4dCyM73SKB9WOZYExFRleVplI6ou1+EJ+Nq64LGqGh4Mq4ueT871WFv1apViI2NxcSJE0PdFKpCmApCRKGhKlqsBFFWiiyehER4+twPrdtgaNvXQju4u2Sa8sKCkslfUprA07A1PG27VfpCxcpkwIABKCio3LNiUvhhx5qIiAilo4V0tjddNBGRiKkgREREREQuYMSaiEKDKR9ERFTJMGJNREREROQCRqyJKLzoRY2MaNvDGSyJiEKOEWsiIiIiIhewY01ERERE5AKmghBReNFTQCrZDIIVhueKiChkGLEmIiIiInIBI9ZEFP4YvZazc15YFGqp8Ohh5C5diLNbN6Hgx53wnjmDqOrVEd8qDQntOyKp362ITakf6mYSURhjx5qIiKq04twcHH5pMnI/WQwUFZlf+w0ozD6A06uW4+jrLyHphv6oP34iopOSQ9JWIgpvTAUhIqIq68y3X2HPrb2Q+/F8n061j6Ii5H40D3tu7YUz335VMQ2sQF9++SWeeuop9O3bFykpKfB4PEhLS1O+f9++ffB4PJY/I0aMsNWO/Px8PPnkk2jTpg2qVauGCy+8ECNGjEB2dna567377rvo3LkzEhMTUadOHdxwww1Yv369rX0Hw7fffovnn38et956Ky666CJ4PB5Uq1bNr3UDPaann37auA7//ve/HbV/6dKl6NGjB5KSklCrVi306NEDS5cuLXedHTt2YNCgQUhJSUFCQgLatWuHadOmwev1OmpDJGHEmojCkyplgWkh5JIz336FAyOHQsvPt7Ve8fGjODByKJq8/i6qX3ZFkFpX8caMGYOtW7f6/f7ExETcfffdytfnzp2L/Px8dO/e3e9t5ufno2fPnli/fj0aNmyIm2++Gfv27cOsWbOwdOlSbNiwAS1btvRZb9y4cZg2bRoSEhLQu3dv5Ofn47PPPsPy5csxb9489O/f3+82uG3y5MlYsmSJ7fUCPaZdu3bh2WefhcfjgaZpjtr+6quvYsyYMYiJiUGvXr0QHx+P5cuX48Ybb8T06dMxevRon3U2btyInj174syZM+jcuTOaNWuG1atXY9y4cVi3bh3mzZsHj8fjqD2RwKM5PdvlyMjIAABkZWW5vWkiqurYsS5TBXKsvV4vdu3aBQBITU1FVJQ7D1qLc3Ow59ZeKD5+1PE2ouuloOWCFZUmLWTChAlITk5Gp06dUK9ePXTs2BGpqanYuXOn7W3t3LkT6enpSEhIwKFDh1CrVi2/1ps0aRImT56Mrl27Yvny5UhMTAQATJ06FePHj8fVV1+NL7/80rTOF198gZ49e6Ju3brYsGEDWrduDQDYsGEDrrnmGiQkJGDv3r2oXbu27eNwwwsvvIAzZ86gU6dO6NSpExo0aID4+Hjkl/MHXaDHpGkarrnmGuzatQtdunTBkiVL8MEHH+D222/3u90//PADMjIyEB0djZUrV6Jr167G8iuvvBK5ubnYvn270TYAKCoqQlpaGvbs2YOpU6di7NixAIDTp0+jd+/e2LBhA2bOnInhw4f73Q432PkeCbQPy1QQIoos1eqW/VR1Vuci/3jZD5kcfvmZgDrVAFB87CgOv/yMSy0KvRdffBGPPfYYrrvuuoA7obNnzwYA3HzzzX53qgsLC/Haa68BAF5//XWjUw2URG8vueQSrF69Gt9++61pvZdffhkAMHHiRFMnr2vXrrj//vuRm5uLmTNnBnQ8gXj44Yfx1FNPoV+/fqhf37/i10CPacaMGVi9ejVefvllJCcnO2r39OnTUVRUhPvvv9/oVANAmzZt8Pjjj6OoqAivvvqqaZ1FixZhz549aN++vdGpBkqebrz++usASv5IqszYsSYioiql8Ohh5P5nkSvbyv3PYhQePezKtioLTdPw/vvvAwCGDBni93pr165FTk4OWrZsiUsvvdTn9YEDBwIAPv74Y2NZfn4+Pv/8c9PrVuuEu0CP6dChQ5gwYQJ69uyJO++803E79DxqWRsGDRokbUN561x66aVo0aIFtm3bhn379jluV7hjx5qIiKqU3KULrQsV/VVUiJNL3emkVxZr167Fvn37kJKSgt69e/u9np7f3bFjR+nr+nIxD3znzp0oKChASkoKGjVqpFznu+++87sdoRboMY0ePRpnz57FP/7xD8dtyMnJwYEDBwBA+kdOo0aNUK9ePezfvx+5ubnGcifXsLJhx5qIKJI4Te9g+ozh7NZNrm7vzHfubi/SvffeewCAO+64AzEx/o+RoHfkZJ1Jcbn+Pn/WqVGjBpKTk3HixAmcOnXK77aEUiDHtHTpUsybNw+PPfaYKYXEaRtq166NGjVqSN/j5HrI1qls2LEmIqIqpeBH+8V45W5v9w5XtxfJzp07h3nz5gGwlwYClBS4AUD16tWlr+sdPP19/qyjWi+cOT2m06dP4y9/+QvatGmDhx9+OGRtKG+9SLsWTnC4PSKiSGIRdfZmzTJ+j2p5k/F7ZunwVpnuDwQVcbxnzri7vbNnXd1eJFu6dClOnDiBtLQ0XH755bbW1QcpUw3FJhvEzGod1XrhzOkxPfbYY/j555/x+eefIz4+PiRt0Nm5hpUNI9ZERFSlRJUThXO0vYQEV7cXyfQ0ELvRagCoWbMmACAvL0/6+pnSP4jE0UKs1lGtF86cHNPXX3+N119/HUOGDMHvfve7kLRB/N3ONaxsGLEmIooEfo5DHZUhHx+Wkeoy8a3SUJjtXo5nfOt017YVyXJycvCf//wHHo/H0WgUTZo0AQDlDIv6cv19/qyTl5eHnJwcJCcnG53FcOfkmP7zn//A6/Xi+++/xzXXXGN6vz4O+dNPP40333wTAwcOxF//+le/2nDixAnk5eVJ86xV1+PEiRPIzs7GJZdc4tc6lQ0j1kREVKUktJePWOBU9Uvc3V6k+vDDD1FQUIDu3bujadOmttdv3749AGDTJnkxqL5c7LClpqYiPj4eR48elXZEZeuEu0COacuWLfjyyy9NP4cPlwwHuWPHDnz55Zf48ccfLduQnJxsdH43b97s83p2djaOHTuGJk2aICkpyVju5BpWNuxYExFRlZLU71bAxmgV5YqJRa1+oZsuO5wEkgYCAFdddRWSkpKwZ88eaWdu/vz5AIB+/foZyxISEozUB/11q3XCnZNjyszMhKZp0h992vkPPvgAmqbhlVde8asdffv2VbZBL1A9/7yWt87mzZvx008/oW3btmjevLlfbYhE7FgTEVGVEptSH0k3uNMZTrrhFsSm+DebXmW2f/9+rF27FvHx8cbkISqLFi1CWloahg4daloeFxdnpCj89a9/NeXpTp06Fd999x26deuGTp06mdYbN24cAOCZZ57B7t27jeUbNmzAW2+9hVq1auGee+7xaYfH44HH4wnLyUqcHpMTaWlpSEtLwy+//GJaPmbMGERHR+PNN9/Exo0bjeW7d+/G3/72N0RHR2P06NGmdfr374/mzZtj69atmDZtmrE8Ly8PI0eONB1bZcUcayIiqnLqj5+I0+tWBTSteXS9FNQfP9HFVoXWjBkzMGPGDABAQUEBgJIOc5cuXYz3vPHGG9LJP+bMmQNN03DTTTeZUgNkcnNzsWvXLjRo0MDntYkTJ2LFihVYv349Wrduje7du2P//v346quvULduXcyaNctnnV69emHMmDGYPn06OnTogOuuuw7nzp3DZ599Bq/Xizlz5qBOnTqmdbxer/F7bGxsue0N1LJlyzB58mTTsnPnzpnO6xNPPGFEewFnx+TUrl27AJRMKS9KTU3FlClTMG7cOHTv3h3XXXcd4uLisHz5cpw9exZTp05FamqqaZ3Y2Fi899576NWrF8aNG4e5c+eiadOmWLNmDQ4ePIhbbrkFw4fL60AqC3asiYjClTgJDCd3cVV0UjIavfg6DowcCi0/3/b6nmrV0OiF1xGdlOx+40IkOzsbX331lWlZfn6+adnJkyel686ZMwcAcNdddwXUhmrVqmHlypV47rnn8P7772Px4sWoXbs27r77bkyePBmNGzeWrvfKK6+gQ4cO+Pvf/47PPvsMsbGx6NmzJyZOnIhu3br5vF+f+e93v/sdLrroooDabOXo0aM+51XTNNOyo0d9/8Cze0zBMHbsWLRq1QpTpkzBmjVrAACXXXYZHnroIdx0003Sda688kp88803ePLJJ7Fq1Sps2bIFLVu2xPjx4/HAAw8gKqpyJ0t4tCAMKpiRkQEAyMrKcnvTRERVBzvW8Hq9RkQtNTXV9X+Uz3z7FbIfHoniY/5HrqPrpaDRC6+j+mVXuNoWqjhTp07F+PHjsXbtWlx11VWhbg4FmZ3vkUD7sJX7zwYiIqJyVL/sCrRcsAJJNw2yLmiMiUXSTYPQcsEKdqoj3MqVK9G7d292qsl1TAUhIqIqLTopGRc+/RJSRj2Ek0sX4cx3m1Cwewe8Z88iKiEB8a3TUf2SjqjVr394FCp6i8p+j+I/4058/PHHoW4CVVL8RBIREaFktJC6w+9H1Uy6ISI3sGNNREQUSRilJgpbzLEmIiIiInIBO9ZERERERC7g8yQiojDl3fOR8XtURuWeVIGIqDJgxJqIiIiIyAWMWBMRhSlGqYmIIgsj1kRERERELmDHmoiIiIjIBUwFISIKU96sWcbvTAshIgp/7FgTEREBOHXwILa++y5+3rABR77/HudOn0ZcYiIuaNcOjbt2RfuhQ1GzYcNQN5OIwhg71kREYYpR6opx5rff8Om4cfh+zhx4i4pMr+UdOYITP/2EXUuW4IuJE3HJXXeh98svo3qdOsFrkFdoA2dZJIoozLEmIqIqa9/q1Xi9bVtsfecdn071+bxFRdjy9tt4vW1b7Fu9uoJa6K6ff/4Zb7zxBu6++26kp6cjKioKHo8HGzdutFx3/fr1uOGGG1CnTh0kJiaic+fOeOedd/ze9+rVq4393X///Y7av2PHDgwaNAgpKSlISEhAu3btMG3aNHi9XuU6OTk5eOCBB9C0aVPEx8ejadOmGDNmDHJychy1QWb16tX44x//iI4dO6J+/fqIi4tDnTp1cO211+K9995z/Zg++eQTXHfddUhOTkb16tXRrl07TJkyBUXl3MM7duzAnXfeiYYNGyI+Ph7NmjXDqFGjcOzYMb+Pc8SIEfB4PH7fMzLvvvsuOnfujMTERNSpUwc33HAD1q9fX+46gd57FUoLgrZt22pt27YNxqaJiKgKKS4u1rZv365t375dKy4udnXbe7/8UpuckKA9Cdj+mZyQoO398ktX22MoLiz7cdm0adM0AD4/GzZsKHe9hQsXatHR0ZrH49F69OihDRgwQEtOTtYAaGPHjrXcb35+vpaamqp5PB4NgHbffffZbvuGDRu06tWrawC0zp07a7fddpvWoEEDDYA2YMAAzev1+qxz7NgxrXXr1hoArUWLFtptt92mZWRkaAC0Vq1aaceOHbPdDpnx48drALQ2bdpov//977Xbb79d6969uxYdHa0B0IYMGeLaMT3//PMaAC0qKkrr2rWrdtNNN2kXXHCBBkDr3bu3Vljoe998/vnnxn7S09O1W2+91TgvjRs31rKzsy2P8YsvvtAAGNfQ6p6RGTt2rAZAS0hI0G6++Wbt97//vRYTE6NFR0drCxculK4T6L2nafa+RwLtw7JjTUQUpoq3zTR+DGePlf1UAcHqWOcdP669WL++o061/jOlQQMt7/hx19pUEZYsWaKNHTtWe//997Xdu3drPXr0sOwk/fbbb1pSUpIGQFuwYIGx/NChQ1qrVq00ANoXX3xR7n4nTpyoeTwe7d5773XUsS4sLNRatmypAdCmTp1qLD916pTWtWtXDYA2c+ZMn/WGDBmiAdBuvfVWU4dz1KhRGgBt6NChttqhkpWVpf3yyy8+y3fv3q1deOGFGgDtk08+CfiYvv76a83j8WixsbHap59+aizPycnRrr76ag2A9vzzz5vWycvL0+rXr68B0J588kljeXFxsfbAAw9oALQ+ffqUe3xnz57VWrdurWVkZGhXXnmlo471559/rgHQ6tatq/3www/G8vXr12txcXFaUlKS9ttvv5nWcePe04+VHWsioiqOHevgdawXDRsWUKda/1k0bJhrbQoFfzrWL774ogZAu/nmm31eW7hwoQZA69evn3L9rKwsLS4uTrv33nu1WbNmOepYf/jhhxoArX379j6vbdq0SQOgXXzxxablBw8e1KKiorTY2Fjt0KFDptfy8/O1lJQULTo62uc1tz3zzDMaAO2hhx4yLXdyTPfcc48GQPvjH//os862bds0AFpKSopWVFRkLJ89e7YGQEtNTfX5DOXn52sXXXSRBkDbunWr8hgee+wxzePxaGvWrPHrnpG54YYbNADatGnTfF4bPXq0BkB76aWXTMsDvfd0FdmxZo41EVE4yT9u/ERlDDd+DNXqlv0I7yX/nTp4EN9Z5L3667s5c3Dq4EFXthWuli5dCgAYOHCgz2t9+/ZFtWrVsGLFCuTn5/u8rmka/vjHPyIpKQkvvPBCUNpw6aWXokWLFti2bRv27dtnLP/kk0/g9Xpx9dVXo379+qZ14uPjceONN6K4uBiffPKJ43b5Izo6GgAQFxdnWu7kmL799lsAwDXXXOOzTkZGBurVq4ejR4+acpb1da6++mpERZm7ffHx8ejatSsAYMmSJdL2b9u2DVOmTMGIESPQrVu38g5VKT8/H59//jkA+fHqyz7++GPT8kDuvVBhx5qIiKqUre++a1mo6C9vYSG2zp7tyrbC1XfffQcA6Nixo89rcXFxuPjii5Gfn49du3b5vP6Pf/wD69evx8svv4w6AYyksnXrVmUbxOX6+5yu47aff/4Zb731FgCgT58+ptectC8vLw8AULt2bek6+jkOdB2d1+s1/jB68cUXpev7Y+fOnSgoKEBKSgoaNWrk87p+rPq9pgvk3gsVdqyJiKhK+XnDBle3l+3y9sLJyZMnjdEzZB0icfmBAwdMy3/99Vc8+uijuPbaazFkyJCA2qFv204bnKwTqA0bNmDYsGEYMmQIevbsiVatWuHAgQN45plnfKK9TtqXkpICANi/f7/P+71eL37++WcAMEW5y1tHXC6uo3v99dexcePGgP8wsjrWGjVqIDk5GSdOnMCpU6cABHbvhRI71kRE4cROqof4XvLbke+/d3V7h8+LslUmp0+fNn6vXr269D01atTweS8AjBw5Evn5+fjHP/7hWjvstMHJOoHas2cP3nnnHbz33nv44osvUFRUhKeeegoPPvigz3udtK9Hjx4AIB1qbu7cuTh79iwAGJ1TcZ1ly5b5DK134MABrFy50mcdAMjOzsbjjz+Oa665BkOHDi3nqK1ZHSvge7yB3HuhxI41ERFVKedc/kf4XOmj9spI0zRH71m4cCEWL16MRx55BKmpqa61x+Px+N0GfZmddQJ11113QdM0FBQUYNeuXXj00UcxefJk9OjRAydOnJCuY6d9I0eORFJSEjZu3Ihhw4bhxx9/RE5ODubOnYuRI0ciJqZkQiExl/q6667D5ZdfjtOnT+P666/HN998g9OnT2PdunW44YYbjPGyz8+/HjlyJAoKClz5w8jqWsiO1+m9F2rsWBMRhWsRoCQiXfzyH4yfsG13mItLTHR3e6VRs8qoZs2axu9nzpyRvkdfnlh6Xk+ePIlRo0ahdevWePTRR11ph77tPMUfMee3AShru5113BIXF4c2bdrgmWeewfPPP4+vvvoKkyZNMr3HyTFddNFFWLRoEerUqYN33nkHrVu3Ru3atXH77bejcePGGDFiBABzPrXH48HChQvRrl07/O9//0Pnzp1Rs2ZNdOvWDYcOHTLaJa6zYMECfPTRR3j44YeRlpYW8Pmwuhay43Vy74UDzpVKRERVygXt2uHETz+5tr36l1zi2rbCTa1atZCUlITc3FxkZ2ejbdu2Pu/Jzs4GADRp0gQAsGnTJvz6669o1qyZT8HeoUOHAAAfffQRdu7ciVatWmHGjBmW7WjSpAlOnDiB7OxsXCI53+e3Qfxdf82fdYLhrrvuwrhx47BkyRK89tprpvbZPSYAuPbaa7Fnzx7MnTsX3333HaKionDFFVdg0KBBRspGRkaGaZ3GjRtj06ZNWLJkCdatW4czZ84gLS0Nd955J+bPn++zjj46x2effYbV580yumXLFgDAX/7yF9SqVQt//etfpaN2iKyuRV5eHnJycpCcnGx0qJ3ce+GAHWsiIqpSGnftil2KocWcaFQ6XFll1b59e6xevRqbNm3y6dwUFhZi27ZtiI+P90n52Ldvn7QgDgAOHjyIgwcP+j2tePv27bF161Zs2rQJN9xwg8/rmzZtAgBTB7V9+/am1/xZJxjq1KmDqKgoHD161LTcyTHpkpOTcd9995mWFRUV4csvv0RUVBSuvvpqn3ViYmIwYMAADBgwwLR8xYoVAORD+JU3bfnmzZsBALfccovyPbrU1FTEx8fj6NGjyM7O9ilGVB2r03svlJgKQkQUrkWAYqpH6U/0+PeNn8yEesbPjg5NsaNDU+ttEdoPHYqoGHfiSlGxsWgf4IgX4a5v374AYEQ2RUuXLkV+fj569uyJatWqASjpoGklE9D5/MyaNQsAcN9990HTNCP6GUgbNm/ejJ9++glt27ZF8+bNjeV9+vRBVFQU1qxZgyNHjpjWKSgowMcff4yoqChcf/31frXBqTVr1sDr9aJly5am5U6OqTxz5szB4cOH0adPHzRu3NivdXbv3o2lS5eibt26uPXWW43lb7/9tvIa6sWQGzZsgKZpeOCBByz3k5CQgN/97ncA5MerL+vXr59pud17LxywY01ERFVKzYYNccldd7myrUvuvBM1GzZ0ZVvh6t5770WtWrWwZMkSLFy40Fh+5MgRTJgwAQAwbtw4V/Y1dOhQpKWlYdGiRabl/fv3R/PmzbF161ZMmzbNWJ6Xl4eRI0dK29CwYUPccccdOHfuHP7yl7+gSBi7fMKECTh69Cj+8Ic/oEGDBqb13n77bXg8HmkEVyUzM9NIcxH973//wx//+EcAwPDhw02vOTkmoGTCl/OL9j777DOMGjUK1apVw9SpU33WycrK8plEZc+ePejfvz/OnTuHl19+GQkJCX4erdovv/yCtLQ0aV62fizPPPMMdu/ebSzfsGED3nrrLdSqVQv33HOPaZ2KvPfcwlQQIqJwZRFBz7RTER9O0Xg9ch7CNvV++WXs/uQT5B0+7HgbiQ0aoPfLL7vYquA7ePAg+vfvb/z/9u3bAZR0YPQCsL59++KJJ54w3lOnTh3MnDkTt912GwYOHIgePXqgXr16WLFiBXJycjB69Gj07NnTlfYdOHAAu3btQm5urml5bGws3nvvPfTq1Qvjxo3D3Llz0bRpU6xZswYHDx7ELbfc4tNxBYBXXnkFGzduxIIFC5CWlobLL78cWVlZ2LZtG1q2bGnq0Or0UTJiY2P9bvdTTz2FZ599Fh07dkSzZs1w7tw57N2714jI33bbbRgzZowrxzRgwAAUFxejXbt2SEpKwq5du7B582YkJCRg/vz50rSIKVOmYPHixejYsSMaNGiAgwcPYt26dSgsLMQTTzyBu+++2+9jLU9hYaFyspZevXphzJgxmD59Ojp06IDrrrsO586dw2effQav14s5c+b4jJVdkfeeWxixJiKiKqd6nToY9OGHiHEYpYtJSMDAuXNRPYBJM0KhoKAAX331lfGjj12clZVlLNuzZ4/PegMGDMDq1avx+9//Hlu2bMF//vMftGzZEjNnzsT06dMrpO1XXnklvvnmGwwYMAA//vgjlixZgtq1a+Oll17C/PnzfYaLA4B69erhm2++wahRo3Du3DksWrQIubm5+Otf/4qvv/4a9erV81lHn4HQztjNr732Gm688UYcPXoUS5cuxbJly3D06FHcfPPNWLRoEebOnWsMhRfoMd1///246KKL8NVXX2HhwoX47bff8Kc//Qnbtm0zUifOd8stt6BLly7YsWMH5s+fj+3bt+OGG27AypUr8fTTT/t9nIF65ZVXMGvWLKSnp+Ozzz7D+vXr0bNnT3z55Zc+ud+6cLj37PBoQRgEUK8szcrKcnvTREQU6WxErL1erxEBS01NlXY0ArFv9WrMHzwYpyWP8VUSGzTAwLlz0UxSIEaR75JLLsG5c+eQlZWF6OjoUDeHXGDneyTQPiwj1kREFHxiEWYYFYo2u/pq/CUrCx2GDbMsaIyKjUWHYcPwl6wsdqqDwVtU9hMix44dw7Zt2/Dkk0+yU02OMMeaiIiqtOp16uCWWbPQ89lnsXX2bGRv2IDD332Hc3l5iKtRA/UvuQSNunZF+yFDKn2hYlVXr149I8eayAl2rImIVMKgyI4qTs2GDdGtdKQBCoEodkko8jEVhIiIiIjIBexYExERERG5gM9diIhUmAISGHGmR55LIqoCGLEmIqKw5fF4jN9ZVEZETojfHeJ3SjCwY01ERGHL4/EgLi4OQMlUzxEnDIaQI6rq9O+OuLi4oHesmQpCRERhrWbNmjh+/DgOl04/XqNGDdcnigkaU5SdEXeiiuT1epGXl2d8d9SsWTPo+2THmoiIwlrdunWRl5eH/Px8/Prrr6Fujj3i5MZBjpQRkVq1atVQt27waz3YsSYiIne5PP53dHQ0mjRpguPHj+PUqVM4d+6cK9utEOxME4VUXFwcatasibp161bIbJrsWBMRUdiLjo7GBRdcgAsuuACapkETI8FERBIejyfoOdXnY8eaiIgCJw6tF2Sh+MeSiMgfEVL9QUREREQU3tixJiIiIiJyAVNBiIjIGc6sSERkwog1EREREZELGLEmIiJ7XB5Oj4iosmDEmoiIiIjIBexYExERERG5gB1rIiIiIiIXsGNNREREROQCdqyJiIiIiFzAjjURERERkQvYsSYiIiIicgHHsSYiUuF4zXI8H0REUoxYExERERG5gBFrIiIVRmaJiMgGRqyJiIiIiFzAjjURERERkQvYsSYiIiIicgE71kRERERELmDHmoiISCX/eNmwi0REFtixJiIiIiJyAYfbIyIiUuGQi0RkAyPWREREREQuYMeaiIiIiMgFTAUhIgoj3qxZxu9RGcPLXtAL6JiaQEQUthixJiIiIiJyASPWRERhxBSlFjFSTUQU9hixJiIiIiJyATvWREREREQuYCoIEVFlIs4SyPQRIqIKxYg1EREREZELGLEmIopUYnSaiIhCjhFrIiIiIiIXsGNNREREROQCpoIQEUUqFicSkaD45T8AAKLHvx/illRdjFgTEREREbmAEWsiIiKiSoCR6tBjxJqIiIiIyAXsWBMRERERuYCpIEREREQUct6sWcbvURnDQ9gS5xixJiIiIiJyASPWRESRSpx5kUPvEVGEi9QotYgRayIiIiIiF7BjTURERETkAqaCEFFkYfpDmap+/HbwviGiCsCINRERERGRCxixJqLIEmi0kZHLyOfkGvJay/HzQOQqRqyJiIiIiFzAjjURERERkQuYCkJERMHnZsoBUxbcw3NJ5CpGrImIiIiIXMCINRFVLeEeoausxWSV6ViIiBQYsSYiIiIicgE71kRERERELmAqCBFFvsqQPqEfQ7DaH+ztVyWV4X4joqBgxJqIiIiIyAWMWBNRZJFFC62ihsI6xa+PMn7/YfY6AED6lv2uNc+xYEc+GVl1D88lESkwYk1ERERE5AJ2rImIiIiIXMBUECIKe5keT9nvmub3esUv/8FnWfTI14zfU/t8FFjDSMqbNQsAEJUxPMQtIXIBC3/JBkasiYiIiIhc4NE0G+EfP2VkZAAAsrKy3N40EVVBssgzUFZ8KEqdk2n8Lo2YisWPOkai3FUJI3ziPRg9/v0QtoSIginQPiwj1kRERERELmDHmoiIiIjIBSxeJKKwJxYciuNQ6+NPi4/pLQvmxPQEWVqITIhm2tvRoanxe1iMte2vSpQCoguL9I9KmGJDYYAzibqKEWsiIiIiIhcwYk1E4U+IolRo5NDPCKEYMff0uc743clwc6Yo9cZNttcPFhbvhQFGEykYeF+5ihFrIiIiIiIXsGNNREREROQCpoIQEamKd/x8RKpMjRC2691TMsujKT1EeF0syrS7f1dYFDAx/aMCsZiMKGIxYk1ERERE5ALOvEhEkU8R+fU3yurNmmX8bllw6GI0USxU1GeMdFLwGHY4LFzVweg6VTKceZGIiIiIKAywY01ERERE5AIWLxJR5BMeQf8we53xexuUjL1slRIS1fKmsv+xerRt9bhbNZtj6XrieNBztx4wfs/0NwUlnB63B1j0SZUArzWRCSPWREREREQuYMSaqCKEY7Sxkkrfst/4XYwOl0u8LrKIs50CLYvXxej5JGGWRr2tyuh6ON474dgmIqIQYsSaiIiIiMgFjFgTVQRG9kIr0CHB7ORV29i+mNu9Y3YmACB9vJ2GhRiHWpM/4aiq54KIGLEmIiIiInIDO9ZERERERC5gKggRVVp6IaBYxGg5G6PwGF+fkdFyNkSHj/69ez4yfm8z5CpH2wgppjzwHBCRCSPWREREREQuYMSaKFRY+BUaNs67aeKYIBAj4d7S/9qKrhMRUVhhxJqIiIiIyAXsWBMRERERuYCpIEShEqHpH34X9LnJxbQZsWCwQo/Bgt6W4v9+FuKWuMDPmUYrVdqLnXuUaWBElRYj1kRERERELvBomqa5vdGMjAwAQFZWltubJqo8IjVq5Wc0MmQk53VHh6bSt+pD3JmipZL19Sg94HKUW7IvMYorih75mu/CcL0GRFVJuH8nki2B9mEZsSYiIiIicgE71kRERERELmDxIlGoiI8NI+hRol78F06Ff1ZpNelb9ktX01NE2kCefiETrOLCH2avK/f1uQ/W81k2adtM4/ewuh5E4c7NVLwI+N6misOINRERERGRC1i8SBROIqGg0a3ounCspiHwrGY7dBDpF4sPRU9fPAIAMLh9E2NZ6pzMcrdlap+D/VpGloXzUvz6KJ+Xxcj23K0HjN8zA/wqtxr6TjwWrTRq7+lznbHMznGF7b1NRFUeixeJiIiIiMIAO9ZERERERC5g8SJROJGlOZy/PMRcK15UHZOdY/VzhjtNUXD4xEt3+Cxzswgw0G2JaR/6mNtiIeZgYXxuPZXDagZD1TjZItW43z6E9qVvYfEkEREj1kRERERELmDEmihchelwfJbFhU62GeSh4sQorqwIzyrKGzSypxLCNdaj1EBZoaCqEFOPblsNHSiLgvtDLJSUEaPn+ntNBZVhcO+6JkyfJhFR6DFiTURERETkAnasiYiIiIhcwFQQokgQho+bxZQEO2M7O6J69G6VIiNZbmrryJvK336wWexLTFHRCwrFcbbTN24yftfHvI4e+Vq520/t45sKA5jHpE4v3YZpHG1JKog4/reYKmIsr6wpE5XpWCpSZb0fiASMWBMRERERuYARa6JIUpERH8W+9CimGOF01BZx+yLZttwYms/PdUyR+GAUVQZ4DVVt0qPbqhkUVUWP0u2WtlEsdBSj0zpVQaO+fHCXjsYycZhAqqIYpaYqgBFrIiIiIiIXsGNNREREROQCpoIQkZzw2FaWRqAaz9rfGQCD9lg40FQL8bicjB/ucP/6OValetgZc1rWFuO4xDYJ+xJnW9T3JRZK7rqz7HerMa1l78tUv42IqNJgxJqIiIiIyAWMWBO5yU5BnhMVUfxTegzePR9JXzZmABReF6O8pqLGiuJiUac4xJw06m61L6v9K173u1BS2L/pGkjWlx2LWNwoFieK0Wl5W8pe1wsZLWdjFAseZZ+NcCpm41BwROQCRqyJiIiIiFzAjjURERERkQs8mqZpbm80IyMDAJCVleX2pokiR0U++nZSZGe1LYGYcqDP1mdKk7B6jO7mY/ZgP7KXpFqoCjXt7N/vok6LdonpHWLajTiLor+U11Anjl8upJBMfvADv7afKfzzEvTxwSsDNz/HRORIoH1YRqyJiIiIiFzA4kWiYBGjTqqixmDsywkbUWAjymnnmCI0AmdEgUfKI9bSYQgtZkZUsYxoS86hGEnPfHCEz+ti8aA+86FqBkbxqYQ+tJ44xJ9sFkar4kUxym3aV+l/3YxcW84sKT51CNf7MVzbRUR+Y8SaiIiIiMgF7FgTEREREbmAxYtEFchUwBXqR9OK8ZB1qoK9HV06AihLLTh/W5H+OFtWZCemNESPfK3szaXH6kZhntXMi3obxJQMK+kbN5Vtv/Qai0WOqnGsZaIkszRapYKIxYviPaIXYDotvrQaX1w6xroqNSvC71cicheLF4mIiIiIwgAj1kQhYhnllETVVBFvv4eFc2NmSMmwb2IU12hLZRpSLdgzakKIWAvXUH86oCI+Ncj0eHxeN818WMoqMg2URY9V0XFZpPqJl+4wftcjysp73GpYOdk9JkSpxScIetRbjHg7HtKQiKo8RqyJiIiIiMIAO9ZERERERC5gKghRGAm4CM5OAZfTbentqoD0iLAU4Iya4jW2KtizKpTUx5sWiWNPixwVPVqkaoivi6koRtGinSJB2XslBY/n049LTHExpYWUnkPp50HVroqcNZWIwgpTQYiIiIiIwgBnXiQKI8riQ38JUTVpsZgqgiiJTovrS7clkBaZVdIhzaxmKBSjzKooq4ws8iruy6qgUBWpLo9pyESR1aya/kaf7QxxJ1kmHr8pei9og5JzbKd4UXZdxKH/Qj4UJhFFLEasiYiIiIhcwI41EREREZELmApCFE7cfOwseZzvTwGXsVz16F7SRtkYw6pH94FyY5ZDJ/vSiSkHetqGuExMM5ClbYizIWYm1PPd6cUjjF/FcaiNFBFhm+J40k+UpoKo0iDSR5ZcT6uxsQH4fx8K94jYVv24TDMvqtJC/N2/ok368YpjW8vuXVlBIyCfkbIYkrQSF1KbZGOVmzDthCjiMWJNREREROQCRqyJKhOLIfCUEV4XCw31IjBbw5vZEHCBp0gyw5+piE1yvnYIQ9yll0Y+pRFOAOnjhfU6NC35ryJiLJsl0TTDoRDJltHbLUZuxbbo10MsctTbBJRTyCihryebgVH2PsBclCkbslF5v+iv2ximUHwSIDuvesEjUPZUQTwWMdKun0+r+8Kf4Sctn7BYzUhJRGGPEWsiIiIiIhewY01ERERE5ALOvEhUGTiZKS7I40zLCv8Ah7NAimRjbgupA7KUAnGZrC1uzsonpmL8ICk0lKUmAGUpGqpxsCc/+IF0PV3m2WMl/5UVRApU+xdTQfRjUI2ZLUsBEbervy6mVIhpITrV2Nti2oVOvC7ScdMFsn1Zpa1IC0VRlr5hKo4UBGXcdjuzmlbS8eKJQoUzLxIRERERhQFGrIkilZModYiYCupkw/BVZHTdYpbJQKki9U9Lig+feOkO43c98qkaTjDT4yn5ryIKbBWRNbYjrK9vE1BHsmWs9jVp20wA5czYWXoNZZFlwBwxlhGLF/XotmpfenTbKuLvTyRfRr+3xe1nuvnPagR9zokqA0asiYiIiIjCADvWREREREQuYCoIUYSqyBkIA2Vqq2wcauHRtjE7XbCOKdBH6xbFkyJZ0eQuYRxskZ7+IL4uztKoKsDUyVJNKpKYSmE5JnbpORSP6WnJjJOqsaVlVOlGeiqIrJD0/HaXR3VMsqJG1eyXRBT+mApCRERERBQGGLEmigRWM7JF0IxtesGadCa+CmYZHZdEt61mCDSxuB6ymQ9V0X098qqKhoqFiP6SDZFnZz07EWWrc6mK5OvE6L3VeZVFr8VhCMWiUb340Wr/Tpnuc4unNVLBGE6PQ/QRKTFiTUREREQUBhixJookVpEmO5EoxXv1aJ+beaKyaKoYLRUnCqnI/FTjWMUhACX53ir+5osD8qi4LGKtImuLGGW1E3H2l2k4QOEc6dFfU161GFEuJU7kIpJFie20X9Yu05MEydB7O7p0lG7LOO+SIfrEtopD/EnvF8X6Ym63fp+LE+CI2zW2zxxtopBhxJqIiIiIKAywY01ERERE5IKYUDeAiGxwOCycdD3FtiwfQzsolJQVtokFZuKjcUsuzkSnH6tVW+wUV4rbEtMAUufY35asDbLh3dxgVcioSqXQKVMxSsnTbTIdtc+kdFuqQlI9LUNMNxKvi4z4enppu4vhm7IBQHo/mu4hyb6UaSV6mxXX2HgvCw6JwhYj1kRERERELmDxIlEFMg0DFuwCJVlkVyXQQkgnJBOtAH4MSSasp0dR7QzFFnBbBHo0dPKDHxjLVJFffbkqcmocg6L9YqGjbPuhJpsgRlW8qR+LkyH+AHvFrvq+xOJQ8Vz6W1Coel0aRbYoZBSH4BMFfdjJCBqW046gTypFVQqLF4mIiIiIwgA71kRERERELmDxIlEFspX+YSeVQ0JMadDZelQa7MfFLhRi6o/UxcftjlJshG2K6R+ycygy0gCEVBDVbIR6+oGpfbPLUhKMtBbFeNb6cjGdaLDwuptpIfo40WKqipPtiykTmRePCLxhpczFhfbTG8RUEp342fDa2H8byMfq1skKGcXxu01t0e+9QD97qjQuOylfEZQ2whQQCieMWBMRERERuYARa6KK4CT6HGCkKJKiOFZFgqpzYRyjuL6d2SlL2SlYFF+XDUEnFtnJCg5ly+wQh2eb+2C9gLalKrQ0oqwWw9KJTJH60nMsRnathvNzyurJjCw6bUU6G6JpWLxM4zf9XMlmezy/fXpbxPNiGpKxT8l7Tfegje8Bo4jP6vMkUm1fMqOkX+sRVXGMWBMRERERuYAdayIiIiIiF3Aca6IgEcfw1TlOzwiwkCiSxnmVPc62mtVPNXOivg2rIkSrx/jK81b6XjElRByjWFxPb6M45rWMbDzo89uly0wILBUknNhJFVHOwlhKNma1ONa5LIVHNb64LJXEPKNmJgBz+ohqzGt9+dNCIWfm2WPG73oRrnyWSlh+DwTlcx7s8exDtS8iBY5jTUREREQUBli8SBQkrkaNAi1ktFPMFCbEKLOpmExS2GUawk4S9bKKOKtIz5tFVE0cSk0sctNZRVtN0VqPp9z3ivQh8sRoqSkyKnk4KRZSBlpQKDsuN4sUnc68qJNFqcVtidtpA4sZUoVhEmWFjqb7TbiH9Ii0qcBV8bTDWEd4GmO0yVRIKew33D/n4R6RDvf2UURgxJqIiIiIyAXsWBMRERERuYCpIEQVIVxmMYuAR52ytA3TTHhCu2UForJiMVUqiKxYTJaCoipm+0EyzrOqeFFKlooiFCTq6R3ivlTpFUZbFGNP6ykFsjY7pUpr8TcFxCotRrVNccZJPW1DlR6hXy8xRUZM1zHNjOiAfj7F+0JVTKv/ni6kl4jpOPr95u1Ttn3ZcQU802ioWH3nhPo7KdT7p0qBEWsiIiIiIhcwYk1UASyHbQs2q1nUwoge7VMNWVYsKRYTSSN8kgIwoCzaqM94B5ijmXoU0jTsnSB9fPnblw3dJ25fHAJOv0ZiFNdqaD5ZRFtF35abMyCq1tf3YbV9p+vLotfpI8tel0V0VTNe6veWeF+J53LugyUFpOK5llFFvs3FrLqyZeITDr0tTmdeDIaIjY4ThQgj1kRERERELmDHmoiIiIjIBZx5kagiyFIwrGZUC0ahoR/btJq9TTaTnauPqy1mGJy0babP67ZSbITtq8Y21hljHCsK4/TjFtMMZGMRizRVykGQx5G2M362v6kc4UB2XKYC0tK0CstxrIVrLL7XqvixvG2eT5ZKIRbg6veGcuZFCXF943MQAUXKYSVcisspLHDmRSIiIiKiMMDiRaKKpIhIG8O+iREtBxFtsYhOORuhBauol1HIF6xCyNJ9iZE4MUrtZgGoLCIri4CqZseTzXQnm4lPZGe4O6tCQyfD1YlFeFbFkU7p+wjW9m0pvZ/EAlTxCUPZMIXlP72QFbUCZceYefaYzz4B+ZCQpiizODMjyr93LEm+J2T7Fylna6xK0dsKfCJo9V79O5yFopGLEWsiIiIiIhewY01ERERE5AIWLxJVINUjYFn6g6OUB8m4ySrK7ftbyONmgVQFFlvJisXspGeIqSB6eoCqyE9MYZHty82CxUgoNKwoYrqLrPDUqmhV5OS8qsa81tsifjbFz6GRBqAoXpSNly6bFVRVbCv7Tgja2PoVWRAYjO8sFoBWWSxeJCIiIiIKA4xYU5UV9CIRWcTDKgpiEXG2mpHNqlDJDqsiPHH4MWUBlC5MIz5WQwvqr6uGVzMihMI9ZCoglQzhJha+uRm91jmNYkdS9FtWtCkrKATOKyosJUasrY5VNvSgbP+q4SelBcWKwl9xlkOdeI+Y9uGvYD1NYpSYKilGrImIiIiIwgA71kRERERELmAqCFFFCvBRp7K4sXS74qNkV1NcAmy3+DhcTCGR0dNKZI/FAUVhlyKFRjYmt/i6nu6iSmvR26CadU9PD1CNJ2019rS/aQj+vDfSuZHCopPNfKhKuwl0lkl9fdVsiyJZ8aIs5Ur87IpjbutjccsKcEWygkZx/47TLJiqQVUAU0GIiIiIiMIAZ14kqkguRnlkUStllNrFWRJlBX/KGR8lpIWCNoYJVEWype/Vz4ti+DGr6LlOjFKLM/gNFqKJOqsiNzvcjFIHGpkNtkCj1OJ1Ee8nvVBR3L44HJ6doRbLo4oSm5ZjlF/vTe0zS/q6bLg9WeGsP9FzRxilJrLEiDURERERkQvYsSYiIiIicgGLF4kqkiolI8BHrLLxq63GvLZkkT5iVYAlMhUHBmGmN9XY0XraiNWjdzGNQLYt1Ux9wUirqEoFi06J50g2tnNmQj2/13dyju2k+MjSMlSfB/3es/y8KIoIZakisv26+hkM0ncaUaiweJGIiIiIKAyweJGqLKMIL9DIrh1BmnlMOkTd+ACjUqr9l7bRFPWyioC5WDwp266/RYiAvFhth6QIEQAwWx6pPp8bUWZ9hkBT8ebFIxxtq6IEK7puq9Cy9D7N9Hj83r6bbdUj0uI9KD7Bkc2cKH5OvZJt2oooC58tWeGwGMUOxtMi0/CWVjOwElUBjFgTEREREbmAHWsiIiIiIhcwFYSqLP2xqHI2w1AQ0y9kaSFOC4X09fxJL7F6r6QtYrFYpqwe2s0UGMl7VY+gjcfzirGK9UfzquJEnVXqgNMxmMX1ZOMth7tA22o1Y6U43rRqNkI7KSCBsCpYFMc6T51T9nsb4T36NTaNuS0olhUByz4bqu8JK7L3Wm3L4vNoKlwONP1MhrM9UoRhxJqIiIiIyAWMWBNFAquoVOnrpqHmhKIlY5gtfwo1HUSFxMiivl+rGRgd71P2XsX6ehRRHPJMLDLTC6/E1yc/+IHxux6ltIqs2qGamTGSItUy0tkQJUPh+SNT8lREjFKH+lxZzWwoRq9lxGNRRa+N9wpPU6zea8nqcyZ5XfY9UiHsPGWryG0RWWDEmoiIiIjIBexYExERERG5gDMvEoVTcYyLbZEVZfrzWNco4HQ49rRpLO1SttJCJMRH51aP4WXjVItkMy+qWKUcWI23HIxUj3BNH9HH4QbkxaCqdBud0+PS05Bk27RDtX+rokX9uGTjVQPmz4P+mbNKFRH3P2nbTJ/XTUXWku8M8bMv7kuWSmJKSxFTd0q3pRrjXW+j2L6QF3+rMBWEbODMi0REREREYYDFi0QqoYhyWA23Z4NpGKzSokWxuFHJ3+O2iGibInjjrXfrL3G7+rBmTwszFIoRRj1CpxpSsQ18Cy2VszCWwyqqWVmJxy0OuShlY8hCq/MpvjfQSLWMWIxr9VTDuHdm+3/fiJFhWXRf3L/4OZZ+fiXfGebIcabxm6ywWBwaUPa0SdVWv+/5cHoiGA4YPa/0GLEmIiIiInIBO9ZERERERC5gKgiRjRkGpakakfBILxhtVKSt6I+Z9TQLNyjHQy5twxMvSWasQ1kKiJ2iKlNxZGnKgaqwTVZkF+y0kHAqWAxWW5xs198iQ0A+VrmqKFZPlRDvITFdSE+vMBUGKtKkZDOEive2nk6T6XC8alkqh0hPaxE/m2IRs2kcfMm2ZNdlkvg/VmkfoUoLCafv6HBqCwUFI9ZERERERC5gxJrIioszFFZW+gyGQFlUToyEicP8WQ69J3sSoCrqlGzTNHxYaQROLF40FXXq7RdeF4vVxCIy3WDh97kWEW3TepKIajhFnwNlp+Aw0O3LtmVV/CheV9m2MiVDzQEw7jfxHrFk5ztDuJ/1dlndryr6MYpR8PTxZfuUFeaatj++LCqvR6/FyLU4tJ6sXeJ7jc+k6lwE+4kfiyYpRBixJiIiIiJyATvWREREREQuYCoIkUA63nEkPVIU2qqaWTEY+xKLsvTHwaZCKEgeZ6vOq1XRqPC71eN52RjBIiOVQzFWsWwMY1MhZWmxmTgWcKakQA2QF4M5TSsJR7JUDFkhqD8CndHSqqhUvF5PlKY0mNKZxGLX0vtNNTa0zvTdoboHSlOixPtKVjRpNVui6rORPtK/9AoxdUpstywFxZS6Jex3x+ySNqYqih+dFA5LOf3+Dffvaqq0GLEmIiIiInIBI9ZEAml0JZIiH0JbxaiZa9EjQF50JBluT4x+yYoLlUPolZIWQsHZzIhiVFBVxOYvWRRcLOTy9ilbLl4Dfb9WRXaRFKVW0Y/hCeG8BxqJtzpvToc5tCqmtYoy60P3iU895m5VzARaes+njxR2IH6OZLM3WsxwKr6uR91NEXPJ95epmFiIMouzZ4qFijL6sYifh/QtZd8v+mfCK6wjfv8YbbX6Toqk718iMGJNREREROQKj6ZpmtsbzcjIAABkZWW5vWkiv8nyb12J2FYQab53gNuq0ONXRNr0SLSYAy7mlOrRQFl+s/g6II82itE4ndW+RD+YIo+hjR5Har51MKgi0noOsvh5kV1j2aQw4voi2T0kkj1BsYqo29mXGEUWI8J6brj4hET2GRCf6qie1py/zfMZUW+LiLFpeEvJkIWW32PhOqlMqETSxGOVVKB9WEasiYiIiIhcwI41EREREZELWLxIlUqmx2P8blV8U9lJH2fbSQVRFU35+4jSYlg88XG9yEjbUKSCiI/JrRiPyYVjSd9YVtglK0SUPdJXPeYP9hB5kZ7+oUqJ8Pe4VOdVXC5+5mWv6/dApqIA1lExLHw/W+IsnaahJsVhFiWP+WXvFdcRj/sJyRB44udcT/VQpUuljy/5rz/HLBseUkyp0tNRxH2JnydZmlWxmMKiH7fVzIxVDVNAIh4j1kRERERELmDEmiqVTEktrilyG0HFi2KBkpN2y6JLttiJnAjRJVmkS1WIKCOLZItFX7KJOFSRMqNo02L4MdVEJv5OPhLpkeVwpTqvds63VXRWL95TPUGRFffJPk+me3y2fGKi9PGSoe+Ez4vscyJG342ItCRiLrbVTpGy+F5Z9Fv12bPzmZat0wa+E0kpJ+khiiCMWBMRERERuYAdayIiIiIiFzAVhCo9O8VuoeZm8aXpEa/k0bVq/FlZKocdsnF19aIpcb+y2euAsiIw06NmIdVETOuQtdVqJj2RbFxgq+JEK1U1LUQ2w6A4k19FkhU6iikNsvQQVXGkNDVJHK+5NO3Dn3GsZfsVPwf676p7WLa+9L2S2RiB81KiytmmP6/L2mo1Jndqn7K2GJ+5ipgtlqgCMWJNREREROQCRqyp8iqN2oRDQYweyRELCmXRIzHSFWjxop3hqsTIr95Gx+fKYuYwI3IotC9TEnUTC7TE9okRMuP32faHTFOxGm5PZCeSXZnIjls2q2Cg27ca5lD1XhlV5FX/HNq5lrJhGu2sbxoOTzLLoviER7aeuVCy/Oi7U7JIv2zYTNkyQCy0lD8BsyrENFgUHhOFG0asiYiIiIhcwI41EREREZELPJomGfg3QBkZGQCArKwstzdN5Df9EaWYUmGnsC3oxFSN0kecYvGPKW1EkpYhPoK1GqdaNiObyNXzYpEKUu46ivVMhZaSlAPpLJOwPi6rWfv0fYn7D/Qxe7BmaQw2sZjWSGOymDVPTJmQHas4W6FYwGqVVqEqfJUR96GzMwazqVBRQk8182eseGNsaMU2jVQQ4XVZ2okdgd5j4vkzjUMtS0uRsPrOsfrsiq/b+Z4yjXfPAkiyIdA+LCPWREREREQuYMSaKj3LiIdVkZ8LBTOy6Lmd6I8q6qMzCqAsIogVWfxjK2IkGR7MakY4QB69topui/TtqqKe/hbG+UPflp1oa0USI5P650RV8CcrQBXpUVY3o/sqsiERrYa+k0WExXtFFUWV0T97/hRJWw1tJ2OKbkuebInfafoTGFWU2cn1sLoGps+Y5MmTalhPfShGp0NZyu5XIjcwYk1EREREFAbYsSYiIiIicgFTQahykTyatnpEa0pZsJjVTyQWF+pUBUzSsaElj01VY8JaFov5y6JI0A5lik3pPlRjT8vaYnWuZWP9Av6nephm3xSO22oGPivBGG9ZpCruC4TYPn3mSUA+rrp4rsRCz8yzxwCYP1viva+31ar9stkaAXupJFbnVTaDqXis+r5M50L2OXX4eZGlManGsbZKnxDPt072naNKl7Iq1pWxKrRUpanpbfBnRkqd6byUfmeI34myWTBNbXVxLHWqupgKQkREREQUBjjzIlVepdEfaSROIEanxOiIEWW2MfOXV7FdS6VRMdPQgIooayDcnIVSjEKbotel7Ta1XyArsJJtV9ym2G4xqqVH9lSRKtnsb7LoudMiO1nhnJ33ilFSPRontsXOsHAysui5rBhORfUExd+IslWU3RTNDHA2QxX9vFoNm6fk52fPryEfS2dJND3tstq+5HXTkzX4fmekjyx7r3gN9c+cKaJtMbSfbFZWoOzetYoi6083zt++fu0zhYfmYqQ+tc8sn+2L94tsPTuFy0TBwog1EREREZEL2LEmIiIiInIBU0Go0rOT/iCmYsiKE62I63slr1ulpYjpE7JCJeX6fj6uNhU6OUwF0R8ti22RtVs1ZrcqBeT87YuP0MVHvGIqiP676jG8bHzwuQ/6FnAFyk4qidj+py8eYfwuS3sIysyMNtKKVI/53WqXKtVDet0UYxhbpcsYKQeK49b3ZfpsSNK/rMa2lhXwAuZUDH1fqu8haeqNsC39M6dKzzCurWJ8cf29bYRlqsJh+WfHd3ZMZYqNRVv09VXpRjoxXQrC50WW9iEuczpjI1GgGLEmIiIiInIBI9ZU6VlFiS3Xc1g46Kg4UBHdCbTQUOdPFN6ISCv2qS9XDVMoK8IzsZopz4iQZUpfh2S7VpHPoER+BeKQbqpiK50YAVSdA7fItulXgVfpfRis82Y1C+Xg0v+q9i8rirQTxRbJZpkUi1114mfHzrCdphlE9ai4ZKZRJeH7x3iaIzwhMkWc9X0J64j7tzPzo36OxXs008novEJbrGaQFennUJ+hEVAXQsqOy1SgObLiZ56lqosRayIiIiIiF7BjTURERETkAs68SBFLVvQiG3Pa9IhWlt6gmAHQKHixMVuhqwUzsv0GOnOi0/Ulj65ls9cB1mM7m4qRSpnG75aMYy0+hrd672RJgZXISXqDKs1Ati3Vcfv7XqfpF1azQOqP4e3cl+Ijdqv2i6/rqTHiPSJLebAaA1nFNJ6xnh6gmCVSlnZilSoivlc6nr1A/87w57zKCn9lxdWqmRdln1mrokqRLL1DZHWOZOdFZCdlzZgV1aJIWTUWuuwzaTUmN8e2Jn9w5kUiIiIiojDAiDVFLkmhn1jo4u+sbWIUQzaDoGpoKz1yahVNdYNVQaHd7ZS3Lem+LCLdsqiZ0+O3PFbJEwbVNfB3KDaReN/IhvGSRfVUUWKrfck4LWi0in7Losh2nlrICsRU7dP3pRq+Ul9u9XRBRRp5FO4LWbTScn2BMmKsE89b6X4tixDh/+dXVWAq+5w5mZ1Tdl8A8qdQsidMQNmx2HlKJ75Xb7e4feV3TinV97t+POKxiPRhLWWf7QonK1BnUWVYYcSaiIiIiCgMsGNNREREROQCpoJQxBMLlcSCFun4tDYKmGTE9WWPPf1JtXAk351xWP16bGuxL/0YxcIzq/NiS+n+lbPLCWSPo0WyaxzsMa0rkp3iR1lxozgusNW9JX7OnLRP9uhdVmQIyGf9E1k+xhcet+vpA3bSAMTvDFkqhFVRpkiWDmMa21qSHuEmWfvFz66Y6iIei2WqW2mqnGwdFXFbssJVsa2y/YucFEqKqUeWY3LbKfR26fuZwgNTQYiIiIiIwgBnXqSIZ4o8iIVtpVEKU2GZje3KomamYqvS5aooeOqcsm0FOgujv0N6WQ29JbavDcqP8lrNkiZGukyzv1mxiu6ULjcdq2KmOj2yKEa6ZNE4sZjNqjhQ9rrTIfSsouOBzrwoK5pUbVP/XXyqYyfCZqe4UHYssui0rYJF8X6TDK8ofg+IRW4yVk9uxHtfv5+kRYywOWSgZFZRK2J0XX9aZFUUav3UqGz/qoi7HpFWFoLOlgxnZzE0oEj/fhTPnyzi7bTYVmScI+H72/Lpop19MVJNAkasiYiIiIhcwI41EREREZELWLxIlYskfcJqpjwV2WNq6ZirsnFJYX6EKksrsSr4sypqkqVq6I9vAcgfT1rNMnnee8rdlsV2ldt0UAhkemwrKRyzGrvaTkGf7HUVqyI7qzGvg0EsSBRTIvQUENM9IrJxjWUFgeJx6fsSU6dMKSilnBbrWRVCysj270Zb9O8EVcqCdIx3G59TGVX6htEGi2tpOU435DOsyo7LVrGyxfezyJgp1Opc+UFWvBgWY1qHUqCz+FZiLF4kIiIiIgoDLF6kSksvWEkXIiqDLWaPsxryyxS9sSCLgqSPL/tdjGTJolpiUVKqZMipQIfzUw1j5Sh6IawjjWBZbFMVkdaJEeliyAu3ZGQzsonFUrLiRFlEWXWPWEXHM8V7YLbvvWdFdj+KUTcZVbGZcV1sRKpksy2KVNF3WRtlT2tU59WqaNSqXbJtqZ5c6e8NdMhIq8JhE6vPgxCRtvqcBzwbq2Jf0u3KIumq6LrsGIVlsu9n8XtA/8zbORcqetR7cBCGM4xYjFIHDSPWREREREQuYMeaiIiIiMgFTAWhiKd6BGs1Pq3+aNhUxCIZm1k1nrP+2NLx40knMxRaFDVZEh7/mcaMdXOWSJ3D4hhZQaJ4rsTr7e8YwqpZIq3GNbdKSTj/fedzMluhcrsOxswWX9fTJ8QUJTvpC7LzpkrlkHE6nry/7TKl3Yj3Xmmhpbh/MTXo6YtHlKyvKOKTkhThiWlJqpQxvegz0+Kzb1rf4nMkHZPbxmfP9P1lo3BZNvOi5fZly4V9qj6nASs9BtUskyHB4sFKixFrIiIiIiIXcLg9inhiwYtIj36IkQ/VcEs66XB6YcRytjA7gh0xcbr90vXE4QCdDoWmkw0F5892/S1ujCSZ/nzlW82OWUosIlTNQCpj9SRA/xyqZhgU733Z519cT//Mq667+JmXbV8/F8oh7mx8Do2nXKoi6NLzrfpOk0V5nRT3mYbbC3CoOTFiLismtnN+LNvFKC9VAA63R0REREQUBtixJiIiIiJyAVNBKOKpCrD0x5KqR5Gy4kPZY82wSgkJ9FFogI+Q/dmuTjmzowX9GvgzS6VsPGOrVA0x/UBPA7AqgrSzTaezPAaDLNVC+ehfuIaqsbDPZ3Ws6YqCQn374nVVpXrolEXK+sx8is+DrGhTdt+oZiCUFicG+HmxTJ+QzC7qxn51qnHALdNiJKzGoHeasqG30ZSep5gFkshNTAUhIiIiIgoDHG6PAiYd7qkC9+s0kiSLrkiHdavIiHUFFue4GokPsK3iPaRHqlXDwolD2FlFgfWCNfEeEaPTTiLVTgsZ/S2EtBq2TjUMmaxgUFq4qxgCUBbJt4oQDlYUL+pRZFVkVjarKUxPKEqKD1XfJ6blerGr+D2kR7EhnHdFlFa/z2Sz/pXXhvP3b+czoLof9fPi7VP23mAUKYvRefHphK2IcOl2le1zMjSosI5+LlSFqoxeU7hixJqIiIiIyAXsWBMRERERuYDFi05JxjYNqyK3CCWdzVBRVKU/KnSafqI/Ovb7US8Q+keOAbbF1jjYDvclKz4UC5D0x+yqsY5lYxir6I/8xftC9phb3L/46F1PExBn4pPtV2xrsIsPnaaKWKWayNJmMs8eK9uAeI1tzMCnk41BbGeMY1lKmVVhMlB2vcT0D7GterusxrP367yUR/V5kZxLN8bEdkSStmK6bmIBp+y4LWacFMnmERA/R7IiWtn1lqX9+Aj19zJVKixeJCIiIiIKA1W3eFHyl7vVsEGy6LTpfcEaysyKg+KZoAswsqqKVAU6S5jISaRbeo9U5HlXRcL8bIPqfpVRRdWsGJHD2WVRZFmRoKzYDUDZsVjMrqdqozjMn6rQT6fPQigrngTcjU6LM//prGYCFdcR3ysji7zKtikuU35POYnSCqxmQ/T3s6eKVorX2NincCzivoxIvvBeqwJRKTvFeBbvtZo50kqgM7CK65vuF8mTH9U9YnUN07f4tit9pHANbQyrabB6qkIUBhixJiIiIiJyATvWREREREQuYPGii4I+xmawiuhk27WzLxfbZVm8EmpWxxrsQkfF43BjlkjFjG06VUGgqvBLtl/ZPSLbl5j+ISselBU0AsL1VqUZCPuSpZjICrBURXSyQkpZW91ICbEac9vfVA7V67JiXvG49VQSsVDTThqB7PtNlX5hRfqZltzbys++jc+ZXpynKk6UzQJp2VYXSdM6HH6PGMXfshkQIZxXi0JPQJ52J0tbsZWKIjkuq33a2RaRG1i8SEREREQUBqpu8WKwOfkL2uov8GD9VW6xL8uZFR1EVGRDngFlETirorOQsTpW1euyAlOLoaukQw4K68sir6YZ22RPTRSRLGm7xGWS48pMqGf8LivME4nRTGNGNbEtIxXtKiUbZlGkjHRJot7ifotR0i7VTHTBYDVcnnguTZFFfX2Lc6Eq/NX3ayfCqJrNUHY/iK/r51B5XmeXRCnFpwPSgnE/Cvusjkdvg3jexPYbkX6h/abiSKvicDvF41YFw5KIs5OiehWr6Lt4P+mRZOU1cvLvkZv/hll9ZxGFCCPWREREREQuYMQ6VGTR6TD9a1s1AYATspxYMd9RmgNYGVhcWz2SJEanpDmtigieVY61rUiXRVv1NmQqyjP0SJcpiiyJzqvyc2XHIkbNTEpzo60mElHlHevEtljlOMtYRaHP/122nv67eO9b5TDLhgZURrxn24/Eq9piDDdqI/otRkP16yIek/i0Rd+vGDlWtcWgeuJnVTMgeZ/pO690uVX0XJXXLPscik97TJ8jSeTV6hxLX1dExvX9qibAsbxf7PwbJZtETfL9JIuSA+4OrSrdvtVkOEQOMWJNREREROQCdqyJiIiIiFxQeVNB/C1mCHDIHqvCEqVwevQkG+ZKeCQoPq7dIUnlsCItNlM8hqt0KSDlkA2XJxLPu15kJz76N51DCctHyHbuV4vtqlIxdOLjYP0am5ZJiqpUj95lKRFWRVlWj/FlKUqAPL1CvAblrQNYp5LIivtUxZP650j8PIltkaXmOJnVz8RGSoJIb6Nq9k79fDt93C+9d+18p1q813SPle5LefwW/9bI1lOlUennK+DZehVtMVJAVMcvWe64LaXbUq2vL/eKCy0+W4ES7zdpUT6H8CMXMGJNREREROSCyhux9vevTad/lZb+ZRuUiWCCRIxemSbkEKLEssifuCx9fMl/Mz0eY5kq+iKjr68cwk82QY1KhA+xZDnxhCTS0wZCZFhy3NLJJoJFuEZi5NSIViqipbKhBWX3pmr4M2nE2GIyGfF+l60vRoEHS7Zjulazm0reUUaMUosRab1wTHxdjE7r0TRbBVxCW/RzKCsEFVkOnymy+hxafPbEJwHisZju43KY2uc0mli6nrh/8Rwb7RtZtn1Z8aKK5WQ24SQYw8AGuC3z91RmYNu3IN77psLfB0v+PbPzbxmRCiPWREREREQuYMeaiIiIiMgFHk1z/9lHoPOsRwL9kVIkPP4z2moxc1pFskxZUD2CjtC0D7fYGUtXVTgme6+MafY5CfFxufjI35jJLkifDdnjXKuZOq0KDsWUDfG8yYrsZPuXjVENWBcv2mm37L3i6/pY31bXVZZ+4sOl2QbFcyXeL09fPAKAH4/e/UkJ0zlsq54WIp7fUH1XGjMvBjuNyw+yWXItU5MCTBsRU3T0+1lWrHw+2bjo5b0PsJ7ZNmgiPIWxKgi0D8uINRERERGRCypv8WIQiNHCkEeqhciALDIpLU4Mg7+QpdFzGbGtdqJWkcRGYZh+3qxmwVTNVCe79qpoomyZdQQt02c95VOJACM2skJC1f2kR2dVkWHZZ0P87FhFlHXicHxWkfzJD35gLJMVSvq7T0A+XF/6Fvm1kj7tcPpkyMG1E++BzLMlUXXLQkp/vgcCbKu0aHR8aIr8jCHoKrII2aIttgoKZddLdQ0lherivW/s35/j17cxPsBzVRHD7YXBv8MUXIxYExERERG5gB1rIiIiIiIXMBXEBlNRUAUWIFgWrMkelYVB8Uu5Ahw/PKBtBEL2ONqqaEr1Xov2i9ddVpwjfXRu47o7LdAyCqwURXJ6G8WUCNNj9tL0BaePu8X0Ab1ocJKQDiVuS9+XWLAnPm7W06hUMy/q71XNLKm/bioiFI5bNUuijGwmzdQ+5RdSyljNgmkSpM+QtA2Sz4OYFpNpI73Oq7je5Qp2QbRiO9Ix2lXHWlnT3nSyc+TG+ZfNf+BkJs6KOP8sXqz0GLEmIiIiInIBI9Z2CH9hSqN2Ls5KZRmRCXVkQ9i/rGDOaqg3VRReNlySGPkUX9ejXaYhuyyKY6TXyI0hvfx9r8OomXEPWAylZidi4yjqB+EaKAqFZNE4VUGd0RZZ9FpxLOL9MLg0Ciy23ypia4ocWwzXZxyL4rNpZ3gvfV/KIfhKj1E1Q6qxf4snWKr9G+fIYuZIN/g7DKJY9Cml+LyI58Vb+l/L7+IQRQjFe1Nvq+l+l7TbasjEiBDpEdlAn46q1o/080KWGLEmIiIiInIBO9ZERERERC5gKohD+uM9y3FYRVapHsIjItmjwHAY29QgtFV23Mr2WTzmtyy+E15/wqJd5S6z87pTsmMMcF+W6Rs2tu/0cbPVfe5kVlJpWySpV4B8nGmxONKKaYY9P9uoSv8w1hfSK1QFpm2GlCxXFTHq5018XSxo1AsZVdvX023E76RQfU8Y7ZaMxQ6UtVtMVTG9bpFSZm+M9fAh/V4XP9Olr8uWAQh5GoEyhUXnYvtCMgulYsxtJ21xmmpHkY8RayIiIiIiF3g0Taz8ckeg86xHEjuFRAFHHmzM1Bf2Qj1snpvsFJ26sF1j+wHeT6oiP9ksjFZFeqbh5uZk+rxuKuCSfGbsnCsxOi0b7k6kv+50aEEZWdROLOBVnQt9uDx9iEDAXMgoG27PVBhcGuWVDV0IwDgu0+uSofkyPZ6y393/+leyerpnVXSqvIZ2hsAsh3heJm2b6fO65VCXbvB3tkLZOiI750e1/dLl4lCVFXk/OXny5aZAnxBX5BNmW0/OyVKgfVhGrImIiIiIXMCONRERERGRC5gKQpWe8pGc1QxYTmbIClKKi/FYVHwcLvJzX6oiQKvHh7JzKD5+lBaTKVKX9LQWVXqJbAxkMb1CTKXQiSkVsrGTA00FUaUpGNsVtmmnkFIkS1uRpRbZGadbVqipPJYgP0JW3S86cfZL41z40aaAi9xK71Mx7UYUlPMSQalw4v0spjZZpYcFet7EFBNjmVV3xel5lXxXBZzWF+yZPilomApCRERERBQGONwehUYFRmzEIj/L4aJEDtoVrCGW9FkmB6uikbJItqQQyTRDoRhxsojYyJiGhZNFpyzOnyqK3Aa+w86p6DP3qbYlK5SU3QPK4c1KmSLywut6lNM07J1QUChGQfVtiNdAGt0W2m+KCpbuVzxWWWFZ+kj5rKg6sa2mQsfxwpucPK2xQfbZ0IcjBGwO1ejS58yv8yLj5FxFaNTSdK4lT6YyE+oZv0+S3O92ZsY1PtvBLhQViUPeBnpfWT0J9ee9FJEYsSYiIiIicgE71kRERERELmAqCFUovSClIsfPVc5o6dLjN1vpJXYIjwz1cXWV40H7eyxWY6ErtiWmJHj925O9/fjTrlJioaL0MbGwLeN6qM5P6XLl42p9O1aPhV1MbVKOQ22RcmBnTH2drNCzvH0Ek2wWxrAdkzfUxYch2r90zGph/5lnj/mulF9+apKe5gaUpX+Iy22lvyn2q6d6mdICQzUzItM+Kj1GrImIiIiIXMDh9qhiBbkoKigsho0LWrTDosjFatg12ZBmqoi3VSTfarg9y8iiJHokRsHFtorDrskoo6ySbelttTXkooNooOpcSGeZFM61WHyoDyNoeppjEcm3Kk60MzSfOJRaMO5pWVtUQwvq90ZFRqzFayXeg0YxaiR9Z7lINXykfr+KUWaRrPhYHCpTtp5qqEidGN2WPvUM9ZMEqhQ43B4RERERURhgx5qIiIiIyAUsXqSKFUmP5yQzsklnGAwWWXqCRWqA+GhdOpOcnTYL+zKNp+zguGXjRO+YnVn2BskjYNW4wiLZ2NAmkvG7TWT3o4N71PQIG/IZBo1zOL6sLeKY14NL00JUs2PKtilLoRHHsZbdD6Yxt4Uxms3nuGRbspkb3SArPDOND47yZ/ULBnH/4pjasvMWdGGU0iCmCIkpMlapGOnjS9ptSgGSzJqqmlV1cOl/xXtQWhxJFGYYsSYiIiIicgEj1lSxwql4UdIWWbTQqhjNH/p6quJBfV/SCCfKojpi9EY6M+Hsjr7LIESChOIfcdg6PUIJmCNUAVFE12WRdNOwchbrq2ZBlArwPpNdb/G6yCKvqsimPtOlGMGbLLke0tnt/JA6p3Q/wvmVtUXcv2p2S6OQUnZdHDIV01pcF71dlrMeBolsdssKbYuimNayYDoI36/mfWX6vK66n2TFh6pCR9nr+rZMnxFxtlcX700iNzFiTURERETkAnasiYiIiIhcwHGsqcpTjnEsoZwVT8JqDGE7Yz8bFI94ZfuSPeZXpXmIRUn6I1yrx7ri62IRnlioqJOltdh5lGvnvLta+CW5BrIZ21TXWjaWuEi83/Rt/KB63O3nY37xXInX20htEtNXKjAly8nnrEIf9yvuG70tqs9OsMfctnPe9PfKil7tMmY+NKWMldG/EyxTsxSpdrJjsUqPM40vzlQQChKOY01EREREFAZYvEihEUbDSYmRk0yPx/hdVmgjRm71SJZqJkBZZNBW8aNqNsByqIrRdLII6fmsIlV6BKmNuFBoqx61EovoVDP8BYMsouyY5LqZo/slUTXVeU+VDc+ouJZGxHN2WcRZFuETI9Kye0/19MDYvmomURuR0apEj4wqZ9cMwj5V30PFfkai3YieZ0ruF3GmUMv7SVJoaRWlNr2uR79N/z5k+tFyotBixJqIiIiIyAXsWBMRERERuYCpIEQC08xe+iNIRdpKah/fsamtWI67rCJJSZBtyzRzmSSVQzWDoUi2nimVQ1KQJ2uXKj3CmCFwi3xM71CnIcjSPsT0FVnRlDjGsZgyYCq22ih5tG2REiWub/UYXPb4XzZjpmmca8k43H5xMF6yqS2l94hsRs6wIElvUM2uqSuWFOgC6lQx2XtlbBU5ByGtTjqDq0B1Df39HKveZzVmt/g5M2ZgFfYvbVc4zJ9AlR4j1kRERERELuBwexQaYVS86JiN4fD8XV+MsogRPj0iY5r1T4hk+TvcnooY6baaHU02hJxsOD2RGOWVRc2tIu2qbck4GZ5MpDrHTlgVw8qohhfTo+biMcmGIQx4mMcgCXS4PVtDLtpR+jm0Kra19STF4febfu1sPUkI8ven5Xm3OlaL4kaRGHGWRcrFWRgnbZvp87rsOxMQn5JxiD6yxuH2iIiIiIjCADvWREREREQuYPEikVOygkLxcbGDVBHT+pJHz2KBlFX6h1V6hfi6bBuq9edajHOtrycWgoptlT1az5RuqYyq6FI/93Ye01sWPfWRrGTn0b7wXvEcWaXISPclOTOqc2GkEahSPfwcC92WYBfOqdJahP0aRW42ih9lhW1i6kC6k3QZN8+vxbkMp2Jfy+tuMR6/qv2ycbKfsFpPvAeE/YqF0kTBxog1EREREZELGLEmcpMigieNrDqI8InFOyI9Muo0Sl3eNlXrqQoeJ+lD0ymOzyrCpkcpldF3ScRWnwHRZ1sWM9XJ2mIZ+bSKlopDMgrD9JmHzvNlddxPSI5FHMpNX08c+i/oglQ4Z8weKUYdFcflJGIrW0c2HOD5bSiX03Mh3E96lFY1y6MurIYmtEM4R09fPAIAkKmVf/0yE+oZv/tbAEwuqwyDDVQgRqyJiIiIiFzAjjURERERkQuYCkLkoh1dOkqXuzV+qjh2q/4oFShLGbAqKLRK75Cto6J6LKs/prYsPBMeKYoFeXp6g3jOnlA9Gi/dlqkYLdBiLtmjTqu0FkXhmtgWPV1FTOeRpbWo0nn0VA8x/cM03vHsjuW2JZIe4VrNuufqvkrTtEI1vrfVdTGlhZReb1v3e6Dj7QdJpp9TaIjvM32nSNITlOfFwUyhJOB5s4URayIiIiIiF3DmRSKH9EiXpiiQC0YEzDTMlmSWMlVxoxWr2Q7tzIwoI0ZZdbLZ7QB5BE4WtQMQNpEUO+0Tr6FVQaMVMaqvb1fcpq0nJVbDxUmGTZMNW6dax6ogT9qWYF3fUEVx/Twuy+H0KrCYTDnzor/DC7rYPst7SHVeGLEmGzjzIhERERFRGGDHmoiIiIjIBSxepJAL+SxiDh8fGm2VpGQA5RTvuUScIVBPPxgspFcYYwEL7VKNkWwqiCt9xKqa4a+8dQD5DIDiuZDNQCi77uJ9YRKGj3jtpKeIx5q+0ffeEbclK4YVr1umsFyWkmR6jC8ZG1rJz9n07HxexZkN/eZmyoNk/HEg+N85Tr7fTNdStk44pDRYtCHT4yn5b4DZpuL5M33OrARjplEiPzBiTURERETkAhYvUpVnJ6IkvlcWIRSjcqGIhEkjlCqKwjL9GBwXZZZGisTovXheVNs9nxjZdmu4wmCpyKcuVtF/Ff0Jg/L62Yjw6bPhOY5G+vukwcWIdaiejDnZb8if4glsFZ2G0f7D6RxSZGHxIhERERFRGGDHmoiIiIjIBSxepCrPqlBIVUQXspnaSklnFhPZeHQuLb5z+vi0dH3l+SndruUj3tnlF0+Gk4p81GyauVEyprhyZkYrwv2i3/PicYlpRqpZN/0VipkVHe8rwAJZ0/jeYVJsayfFxpSSNV6yDcX6+v1iKrZ1P/PUTDgupn9QqDBiTURERETkAkasKej0YZcAd4deks70ZrW+ZKY4sbBOVpwY6si0XxxEwFSReOO8yoa1E5cHWFjmeOisUEf7Qizz7DHjd3E4Pr3AUzXMo50osX7ve4Vlstkzw4pwj6gKZx2R3W8Oh3ITv3904veY/rrlcHuBsvEZEq+7+NRCj0SL96NIL57OdPPzanHexfMrnkOre4DRbXITI9ZERERERC5gxJqCzs28OlOU2t9IiJh3J1lfGa1wM4oRYG6lbNIVkXIyFT9Znld/lwltsXqiYDVJhzhcoCwyW2UJ510WRTbnxJa918kTHtN1cfHz4HdbrJ6aiMuFZeI5SNWjlQFGmR1995xH34YYUcf48I6Wmr5zhLoHI1IdpCdIenTcdI/bmHzJ8n4V74dgTCZTxZ+sVWWMWBMRERERuYAdayIiIiIiFzAVhCq/cHgkV9oG1cyNstkOZQU3VrPupc7J9LtJsqIp0+uKR6mytBNxW/4WAlm+LxyuW5gT7xH93hBTZWzNxClhWeCqWk+SPiErLJMO8wgYj+btFKOJ+xKHeHtCX89hykUwCtvE9ApZsal4fG4WfwdKTMvQ01mCVdxtVYwbKKtUNEf8SC+pyKEmKTQYsSYiIiIicoFH09z/EzjQedaJ/OJvQWA4DdVm1RYbbbWcYMXJ/sX3hPpcCVRRq4gYCrGCyApcxYi1/jTDNJSbBWVEuSoJ9udB+EzKopmOPucVQPaZdLV9pedFLPQMxvYBe0/s3GIaOpbR67ASaB+WEWsiIiIiIhewY01ERERE5AIWL1LlF66PsEORouLHfsKxuEaV3pA+PhStCU96MWsblF/spUrvkM5qWgHpD7K2hFU6kkszjarI0hBE4ZT+IdLbJd434mdT53Tc+WAXR4rXUP+uE48l2KkuTsaVp8jAiDURERERkQsYsaaIFY6RVUuqmeTCiFHcFqbn1TTkl8WMlJWJ1bBj+nmZ/OAHxjJjdjwIRWCKYedMn6Ng35uyKLDs9SpAPO+BzqAadJKovdj+1DllLz998QgAwBMOC4/1IQdVQ5QG4zOvtxkI4tCGYfq9T+5hxJqIiIiIyAXsWBMRERERuYCpIBSx9OIP5Tiv4VQA5acdXToav9sp+tFnZ3Pj8WW4p1XIChkjoYhRf6RtZxxpkb/X5Qnxf4R7Xy9u9OdcVVSaVVBmv6sI4TQ2fkWycayy7yLxu1paHCgU1krvB6Hgz/S9r68X4LWoiJkt9ZQs2eyhooj6PJAJI9ZERERERC5gxJoiV2l0wjR8mOT1sCUZ6sxOlFqMYGaGeZQ5WPSCvaDNYubnUw9VgZWVkD8dCHHkNaKGHKuA8xP258PifjHd+5LPoex+FyPPpid2Gzf57kf43VSkG+rPkQPK76nScyx+p1RIUSW5hhFrIiIiIiIXsGNNREREROQCj6a5/1whIyMDAJCVleX2pol8qMZ+jajijwgstAwnshnfROLY13boBUZW6R2q2QxNKugaKz8PerGvPp41rFNRpLMxiuwciySNQFl4XEXp5zusvrtsjDVu63pajOcs3qeybVqlf5lmaC1NK3FaHO6mqjT2fqQKtA/LiDURERERkQtYvEiRRYhy6EN1BXs2LqoAVkV0wutiJEsfQm7u1gPGsknbZhq/W0X+ZNFd6TrhFEG0ILbfNKRZ6YyL+jkDgPSRNooXA501VLJ9qyHHIkIQnkQErRjXCavjUt0L/t4jiu0b3+XiZ1+4n8V7Rx9uVPzsp87JNH7X/60QvyfKXq1YshklQ36NyVWMWBMRERERuYAdayIiIiIiFzAVhCKKtPAq3Md+9Ufp49CwfTzo4NG/OKuejFgMJ15Xq4JBMd1n7oMlj4CfeOmOsu3aOG8Veo71R95hNGtfZkI943dZCo2tcZUdHJcr4zaHuvA3CPsNq8++gmwmUb+KeO0StiN+9sW0kMHtm/i0xTTO9dljAMzfE6GiX1tTmlYEXG/yHyPWREREREQuYMSaIpYxNJUY9bJRBGcZQbSKhFlFcf3dv4K0sE4R4dOjw1avq9iKHDqJRlqsI509c7x1FEefhcwU/SE5yf1qK9Jv57NTkSJ9iErhHBoR1zCIYIb7Z0osXkwvjWSLQ+yJT2BkQ/eFxb1LlRIj1kRERERELmDHmoiIiIjIBUwFobBiJ/3BWG7nMZ7svar1rR53O3l8aLGO06Il6XpCu/VzJc48ZhrT1f0JWG0RU1VcKWgjAOZiL/0xuTjjnGl2upHlpzaZrlHp/SZbZkeg61cKwndCRY3r7U+ah5M5AYI+k6ZF+p14b4tt0cdu12dgBMJjFkaqnBixJiIiIiJyASPWFFaMqJUiShySmRUjtbBF0m4xMpNZgU0Rn0Q8ffGIkv2XDoEF2ItSBz0qFmxWxbCB3m8WUT1ltNLB05QKfbqgOC7ZDKwiozA2XD/HVkXQTorshHXEIRVlw81JC4cjgOx+FL9nTN8Ns0uezIhFjKGOUptmQB0fwoaQ6xixJiIiIiJyATvWREREREQu8Gia+1VLGRkZAICsrCy3N01VEccbJQsRnx4CBJ4KYpFSoBdrpc7JNJbtujNT+l5/H5MHPFOoxWdb3L5phj8b11g2Q6ATQZlVEPJ7N9PjMZaZCost7hGrokTLtJhAv2uF9WVjRwf62bT8nCvarxfpive+0/spYKVtZOFu+Aq0D8uINRERERGRC1i8SOGPUWqqCpzMZiiJUlsNXagXjwLmYjaxmMpqu7Lor1fSPPF94lByerukM+IJ7zW134+ZOGWMaGCAUUHZUKCA/FyYjtXBfq2Gv1S1JeBCzUC/ayXruzmEoFWhpXg/yaLQ4rUoFq6b/oSgIoYdld7zjFhXKoxYExERERG5gB1rIiIiIiIXsHiRQkJZnEOVU5ALUCtF8aIuwFQQcdziwe2bGL/rM23KlqnIxj0G5OfYVMhYmsIhtsVOekOkF3Opii51qvQI2XHLChJdvceD9NnUz4GYeiSOXe9kX1b3iOp12ayjIv0cV8R3h7/FtBH/PRbBWLxIRERERBQGWLxIISEdQgpgoWJlFaLrWpGRqJAQzqseCROjzJMf/MD4XV8uFimK0WuRHsl2PCtfabtUEe/KzhRNlUXfFcPSFUuimKZ712qWRifsfDZtfFfrEVnTPSBbx2KIvDZDrpJuX3auRJlCpFx1n+v0c1wRT77086LavhFd52yMEYsRayIiIiIiF7BjTURERETkAhYvElHEi6TiRVmRHwD5ONYiGzMTyuhpIeJjcdVjdp2TGQ4BZ8WHkXQNQybQ2TmDQHU/q8Yo1+kFnOJ9K6YuSYtdhc+GbFx1MXVJn2kUKEttsiyUV6ToBHo/VqbC3KqAxYtERERERGGAEWsKPhYnUpCFa7RTFlFWDbVmFXHWyWYwBGB8tlTRMf0cieubhkIL9J+CAD/njOrZ4OZ3qo0nJHbIZoc0XVerWUNt3APi8K068cmMapg9nVHkLES8xaEijWUOPyNV9d62GuYwXDFiTUREREQUBtixJiIiIiJyAcexpuBj+kfoyR73itfFzvi4YX49Q/3YVXwsPWnbTON3ffzodFWqSpDbKkuRydQC3KcqJSEMi+xIwcVrJN770jHMZcW6AmmqiB/t01M0xP2Lhbn6d4Lq+0D62RBniTy/TX60S1mkXIVEWgqIWxixJiIiIiJyAYsXyVWVfqY7G5FdUyFOqCMWwSpwCiZ/2ixplzjMlt8RExePz2kBVjCELHrvIGIdrgWoYS/Mi8NDdV2Dsl+HQ2GG+nuA7GHxIhERERFRGGDHmoiIiIjIBSxepMAJj8fEcUAjnVHwokrjsHjsWqke/4XiEbPisatVqoXVbIKWhZwBCnnajyCc2mJFNb43WXBSNFqB6SPBuq52xoh3jVXBdyhS5ijsMGJNREREROQCRqxJSjZrlkrER2YVUYaIP65Ip4ik2bouQY5OS4VhARlgPeQYVSHhcI8GOCSj6T6W3NNeR1u1QRK9DqfCZQqd/2/vjn2jtuI4gBvQDVXE1rkMkUBRhyImpM6VOrFWbdWhfwBTulJF6srKWibozlSp/wATYihCHTKwd2PogEg6EDs+4cOJ/Xv2e/bnM1m5i+Pz+U6/fN/v+UmsAQAggMIaAAACaAWhU98wVrtVpH2/0HrySFbDYH0TSnIYFmWYjuHk9j1rF39f9T6lXttWbixfRt+7Q9qg2qs4HvUs91G3gNSTKKuqSr6SKvmSWAMAQAArLxJrjpRi162j5pi4RhqXWPGsrfOWiWu9BqacYDXyszckYdw14Tqr0bPU+pL+CUcCcposO9nIVearYHIxVl4EAIAM6LEmVtd/6e3/4semyJe5Ab/EYJku8b7WaVl7HsDa+60nWTSmfo9GLpjRTqHbx91O3ZvH28mohTq6Tfid2PQbZ5BYT8Xt9qgqiTUAAIRQWAMAQACtIKTXN/w4dNhWq8eyJZoItPa2kCyGq7smUrZaPeo2gl3vT+9xr/W7oasFJ/G5eH37RrN968nRuJ2lPu7W/juvvZF/c5I2K7InsQYAgAASa+bXN+FxrenT2g1837sWduhaNIaJtT7Tr+/eqaqqqg5evul8ar3QFANNeNvRXe/hoEmLib7rm89/61x0jXr0TZbtS6TfP7r/8d9kdSTWAAAQQGENAAABtIKQJ+0fDGwH+u6rLxIczHK0h8C3hr5TTGTc8b7tbB+oj2VJk8BmaGtrTyjsO9er0nP+d30GLvrZ0P5BVUmsAQAghMQaSrKmSZ0DX9/B8xfNdj1R8bdf/mh+1k60b1YfHpc05aWZLLaE1etm+Jz2ptRr+h6BiUmsAQAggMIaAAACaAWBkqxp2HbocHXruXULyIOH3zc/a98j+Z8fj6qqqqqDw2GHWLpJJzKSj4jvkfrzmeo7KfX+IRGJNQAABJBYA3kKSKqO/vv3k/u99WT0n6DLyNX+JOYFSJ0kS6oplMQaAAACKKwBACCAVhAgTxH32j37va2V6Fr3uebc1mqHF5041tXycZHfWxP3jIZVkVgDAEAAiTWQp8B0b9dKdFsp7dq1zned8G+dt5ETEldrTedIOg8SawAAiKCwBgCAAFpBgPkZQs7KzZ++/rBhciKXkfq68D1BASTWAAAQQGINzG+u9Enqda4jnT45ftZsWw2R2RNjn1cKILEGAIAACmsAAAigFQSY39xDzGu1Y3LitcOnEx8IRfDZTMP336JIrAEAIIDEGmBN3EKPKUlj+zkviyKxBgCAAAprAAAIoBUEmJ+h0DS62j6ca1LpavuY8Hp7fftGs33w8s1kfxfaJNYAABBAYg2MdvLqcbPdrNC3a9LSrslzXc8t3ZQTt6TTzG3m601KTQ4k1gAAEEBhDQAAAbSCAKM17R9trWHhzlaRXF2mfaN+7q7naf+gre96WZK+17qmc8GqSKwBACCAxBpILvuUus+uFHuOtM3KieVa03vU91rXdC5YFYk1AAAEUFgDAEAArSDAaEVNThwig2HrelW5g+cvzn+YwXEBcE5iDQAAASTWwGiLTKkzc+vJ0YcNKXW51n6LuSlXIk2h9ONnEhJrAAAIoLAGAIAAWkEAcrJjuPnq/r0ZDoZQa28f6Hr9JbVX5H58ZEFiDQAAASTWQLkSTAY7OX7WbM8yKbP9WkpK82AI1zULI7EGAIAACmsAAAigFQQoV4Jh5NknCWr/ACiWxBoAAAJIrAFysPZV+dbAe3x5RnAojMQaAAACKKwBACCAVhCAuRjmXhfv8eU5ZxRGYg0AAAEk1sB4kteLc65gGJ8dCiCxBgCAABJrYLyS0qO5Ui+3WqMmeR3GuaIAEmsAAAigsAYAgABaQYB1MZzM3FyDsbRZkRGJNQAABJBYA2kUOkHr/aP7zfa1w6ej9nXy6nGzfXX/3qh9ATsU9P3C8kmsAQAggMIaAAACaAUB0ihheLbdrnJmbPtHe59Xv/x53L5YpkLbpLLnvJIBiTUAAASQWAOrsjWhMCpRlpRxGa6RNJxXMiCxBgCAAAprAAAIoBUEKF+rFePk+Fmz3XXv6N77SXdMaNzSHm7uey4AqyKxBgCAABJroHhHn33ebD94+P35A4dnkxN7Eu2tn/VNaDRRkbFcQ7BYEmsAAAigsAYAgABaQYDi/fr3790PnA25v390v/vxs1aRne0fJieSgvYPWCyJNQAABJBYA4vSlT5f+fabTz7eS8IIwAVIrAEAIIDCGgAAAmgFAYrXbu84efW42T7986+Pn+w+1czNNQaLJbEGAIAAEmtgUbYmJ56trPj67p3mRzerH5rta4dPP96BBJHUXGOwWBJrAAAIoLAGAIAAWkGA5eoYcu9s/wCAABJrAAAIILEGFu/g5Zs0O65vm2YyGgCVxBoAAEIorAEAIIBWEIChtIAwhJUXYbEk1gAAEEBiDQBTklLDYkmsAQAggMIaAAACKKwBACCAwhoAAAIorAEAIIDCGgAAAiisAQAggMIaAAACKKwBACCAwhoAAAIorAEAIIDCGgAAAiisAQAggMIaAAACKKwBACCAwhoAAAIorAEAIIDCGgAAAiisAQAggMIaAAACKKwBACCAwhoAAAIorAEAIIDCGgAAAiisAQAggMIaAAACKKwBACCAwhoAAAIorAEAIIDCGgAAAlw5PT09jd7p9evXq3fv3lX7+/vRuwYAgCSOj4+rzWZTvX37dtDvJ0ms9/b2qs1mk2LXAACQxGazqfb29gb/fpLEGgAA1kaPNQAABFBYAwBAAIU1AAAEUFgDAEAAhTUAAARQWAMAQACFNQAABFBYAwBAAIU1AAAEUFgDAEAAhTUAAARQWAMAQACFNQAABFBYAwBAAIU1AAAEUFgDAEAAhTUAAARQWAMAQACFNQAABFBYAwBAgP8BsLcM03g8evoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 2400x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the grids\n",
    "fig = plt.figure(1, (16, 6), dpi=150) # 确定图形高为6，宽为8；图形清晰度\n",
    "ax1 = plt.subplot(111)\n",
    "datatest.plot(ax=ax1, column='VehicleNum', legend=True, cmap='OrRd', scheme='quantiles')\n",
    "# plt.legend(fontsize=10)\n",
    "plt.xticks([], fontsize=10)\n",
    "plt.yticks([], fontsize=10)\n",
    "plt.title('Counting of Taxi GPS Trajectory Points', fontsize=12);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a113c8fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>stime</th>\n",
       "      <th>slon</th>\n",
       "      <th>slat</th>\n",
       "      <th>etime</th>\n",
       "      <th>elon</th>\n",
       "      <th>elat</th>\n",
       "      <th>ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>305125</th>\n",
       "      <td>105</td>\n",
       "      <td>01:39:06</td>\n",
       "      <td>121.4750</td>\n",
       "      <td>31.2270</td>\n",
       "      <td>01:47:11</td>\n",
       "      <td>121.4698</td>\n",
       "      <td>31.2008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320165</th>\n",
       "      <td>105</td>\n",
       "      <td>02:03:37</td>\n",
       "      <td>121.4696</td>\n",
       "      <td>31.2206</td>\n",
       "      <td>02:18:49</td>\n",
       "      <td>121.5396</td>\n",
       "      <td>31.2436</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324301</th>\n",
       "      <td>105</td>\n",
       "      <td>02:21:25</td>\n",
       "      <td>121.5388</td>\n",
       "      <td>31.2446</td>\n",
       "      <td>02:25:21</td>\n",
       "      <td>121.5413</td>\n",
       "      <td>31.2338</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329141</th>\n",
       "      <td>105</td>\n",
       "      <td>02:41:54</td>\n",
       "      <td>121.5043</td>\n",
       "      <td>31.2375</td>\n",
       "      <td>02:51:06</td>\n",
       "      <td>121.4770</td>\n",
       "      <td>31.2140</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320173</th>\n",
       "      <td>105</td>\n",
       "      <td>02:56:35</td>\n",
       "      <td>121.4698</td>\n",
       "      <td>31.2208</td>\n",
       "      <td>03:16:20</td>\n",
       "      <td>121.5201</td>\n",
       "      <td>31.1458</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600940</th>\n",
       "      <td>40084</td>\n",
       "      <td>20:34:10</td>\n",
       "      <td>121.4221</td>\n",
       "      <td>31.1193</td>\n",
       "      <td>21:09:58</td>\n",
       "      <td>121.4931</td>\n",
       "      <td>31.2270</td>\n",
       "      <td>11840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513047</th>\n",
       "      <td>40084</td>\n",
       "      <td>21:33:23</td>\n",
       "      <td>121.4335</td>\n",
       "      <td>31.1945</td>\n",
       "      <td>21:41:10</td>\n",
       "      <td>121.4243</td>\n",
       "      <td>31.1770</td>\n",
       "      <td>11841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1043642</th>\n",
       "      <td>40084</td>\n",
       "      <td>22:08:11</td>\n",
       "      <td>121.4028</td>\n",
       "      <td>31.1131</td>\n",
       "      <td>22:16:27</td>\n",
       "      <td>121.4220</td>\n",
       "      <td>31.1311</td>\n",
       "      <td>11842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100188</th>\n",
       "      <td>40084</td>\n",
       "      <td>22:35:43</td>\n",
       "      <td>121.3928</td>\n",
       "      <td>31.0740</td>\n",
       "      <td>23:22:51</td>\n",
       "      <td>121.1891</td>\n",
       "      <td>31.3281</td>\n",
       "      <td>11843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361355</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:34:38</td>\n",
       "      <td>121.4410</td>\n",
       "      <td>31.1833</td>\n",
       "      <td>23:57:05</td>\n",
       "      <td>121.5178</td>\n",
       "      <td>31.2783</td>\n",
       "      <td>11844</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11845 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         VehicleNum     stime      slon     slat     etime      elon     elat  \\\n",
       "305125          105  01:39:06  121.4750  31.2270  01:47:11  121.4698  31.2008   \n",
       "320165          105  02:03:37  121.4696  31.2206  02:18:49  121.5396  31.2436   \n",
       "324301          105  02:21:25  121.5388  31.2446  02:25:21  121.5413  31.2338   \n",
       "329141          105  02:41:54  121.5043  31.2375  02:51:06  121.4770  31.2140   \n",
       "320173          105  02:56:35  121.4698  31.2208  03:16:20  121.5201  31.1458   \n",
       "...             ...       ...       ...      ...       ...       ...      ...   \n",
       "600940        40084  20:34:10  121.4221  31.1193  21:09:58  121.4931  31.2270   \n",
       "513047        40084  21:33:23  121.4335  31.1945  21:41:10  121.4243  31.1770   \n",
       "1043642       40084  22:08:11  121.4028  31.1131  22:16:27  121.4220  31.1311   \n",
       "1100188       40084  22:35:43  121.3928  31.0740  23:22:51  121.1891  31.3281   \n",
       "361355        40084  23:34:38  121.4410  31.1833  23:57:05  121.5178  31.2783   \n",
       "\n",
       "            ID  \n",
       "305125       0  \n",
       "320165       1  \n",
       "324301       2  \n",
       "329141       3  \n",
       "320173       4  \n",
       "...        ...  \n",
       "600940   11840  \n",
       "513047   11841  \n",
       "1043642  11842  \n",
       "1100188  11843  \n",
       "361355   11844  \n",
       "\n",
       "[11845 rows x 8 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extract taxi OD from GPS data\n",
    "#OD形成就是每一个订单都算一个OD行程，每一行代表一个OD行程\n",
    "#stime代表出发时间，slon和slat是出发的经纬度\n",
    "#etime代表结束时间，elon和elat是结束的经纬度\n",
    "#   ID是订单顺序号\n",
    "oddata = tbd.taxigps_to_od(data,col = ['VehicleNum', 'Time', 'Lng', 'Lat', 'OpenStatus'])\n",
    "oddata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d1a22b80",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>VehicleNum</th>\n",
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       "      <th>Lng</th>\n",
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       "      <td>31.2255</td>\n",
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       "      <td>1615.0</td>\n",
       "      <td>1962.0</td>\n",
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      ],
      "text/plain": [
       "        VehicleNum      Time       Lng      Lat  OpenStatus  Speed  LONCOL  \\\n",
       "305125         105  01:39:06  121.4750  31.2270           1    8.0  1616.0   \n",
       "303526         105  01:40:07  121.4716  31.2258           1   32.0  1616.0   \n",
       "301596         105  01:41:08  121.4708  31.2255           1   22.0  1615.0   \n",
       "222441         105  01:42:09  121.4671  31.2240           1    0.0  1615.0   \n",
       "300550         105  01:43:10  121.4668  31.2205           1   64.0  1615.0   \n",
       "\n",
       "        LATCOL   ID  flag  \n",
       "305125  1963.0  0.0   1.0  \n",
       "303526  1963.0  0.0   1.0  \n",
       "301596  1963.0  0.0   1.0  \n",
       "222441  1962.0  0.0   1.0  \n",
       "300550  1962.0  0.0   1.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_deliver, data_idle = tbd.taxigps_traj_point(data,oddata,col=['VehicleNum',\n",
    "                                                                  'Time',\n",
    "                                                                  'Lng',\n",
    "                                                                  'Lat',\n",
    "                                                                  'OpenStatus'])\n",
    "data_deliver.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3ace9980",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>LONCOL</th>\n",
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       "      <td>1615.0</td>\n",
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       "      <th>316484</th>\n",
       "      <td>105</td>\n",
       "      <td>01:49:55</td>\n",
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       "      <td>31.2016</td>\n",
       "      <td>0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1615.0</td>\n",
       "      <td>1957.0</td>\n",
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      ],
      "text/plain": [
       "        VehicleNum      Time       Lng      Lat  OpenStatus  Speed  LONCOL  \\\n",
       "315991         105  01:47:11  121.4698  31.2008           0    0.0  1615.0   \n",
       "315992         105  01:48:11  121.4698  31.2008           0    0.0  1615.0   \n",
       "316482         105  01:49:12  121.4686  31.2005           0    0.0  1615.0   \n",
       "316483         105  01:49:39  121.4676  31.2001           0   18.0  1615.0   \n",
       "316484         105  01:49:55  121.4670  31.2016           0   44.0  1615.0   \n",
       "\n",
       "        LATCOL   ID  flag  \n",
       "315991  1957.0  0.0   0.0  \n",
       "315992  1957.0  0.0   0.0  \n",
       "316482  1957.0  0.0   0.0  \n",
       "316483  1957.0  0.0   0.0  \n",
       "316484  1957.0  0.0   0.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_idle.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b3dd80c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "traj_deliver = tbd.points_to_traj(data_deliver)\n",
    "traj_deliver.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "78ec70cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xFwguNYRYCdokz0yr8se78/v9zfbuu3aguUB47dGzFNfh8K5QSDxpmV39sOs0afmlzTpvXZyymOx28XFq0PbCxFbQnhFiJWiTSJLEpzdVFQp/HtG8QuEBHd0J8XKkRGdgzdGzdW47NsybIcEe6CqMfLLp/M2u4ixhwK4NFCthYitozwixErRZKkN3AO/8d7JWQ9qGIEkSV9fQ8r62bZ+0OJ//ti+5xdzgrdEbjCTllAAQ6t24mZXIBBS0R4RYCdo0qx8eLT++96fmFQpfPTAQSYJd8dmcyS2pc9shIR6MC/emwmjiww0xzTpvTSTllGAwmnDQKPF1adhM6VI2sY1OLeDH3aebdUMiuLQRYiVo0/Twd8FObf6abjieQX5J0+ufAtzsGW4pvv3rYP2mtZVrV/8cTuXE2YImn7cmKjMBS3QGJry3hcs/3c73O+pOl680sb3UxMpkMvHqv8d48e+jbapzs6BtIcRK0ObZOa+qUHjcu5ubdSxr+6X6kjZ6Bbgys7cfJhO8t65lZ1cdXO3QKM1/fglZxRw5k88r/0bzex3ehDlW2YCXEv8dO8uehBy0KgW3Wjo4CwTnIsRK0ObxcNQwsot5RpRbopez6JrCtF4dcNAoScwu4cDp3Hq3f2xyGAoJ1kencyip/u0bSq8AV/Y+P5E1j4zmt3uGy32sXvj7KEW1ZCteimHA8goD81cfB+DuMaEEuju08ogEbRUhVoKLgu/vGCI/nvzB1iYfx1GrYnovs7t5Xea2lXTxcZJnY++ua9kQlZuDRu5hpbTUTfm62GGvrrngN/sSNLH9dnsiyTml+LpobWrrBIJzEWIluChQKxU8OL6L/HzdsbrTz+viGkvN1crDaQ1yWH9kUlfUSokdsdn8ezi1yeetjV1x2Xy93bxe9cSUMJSKmgt+LzUT24zCMj7bbC4NeHpqNxy1qlYekaAtI8RKcNHwxJQw+fHdPx5ocqHwsBBPAtzsKSyvYF10/e4Yge4O3DzUvJby0K+H2JeY06Tz1oTRaOLGxbvl5/P+jOLlf45W265Mb6BEZxbWSyUM+N5/MRSVV9A30JWrLGUFAkFtCLESXDRIksSimwfIzz/aeKpJx1EoJK4e0LCaq0ruH18Vorrui11NOu+5GIwmur201ua1Ur2BH3adptfL/9m8XhkCVCslXOyaPgPJLCynvOLC9euqjaMp+fx2wJxM8tKsHihqmU0KBJUIsRJcVEzvXdVN98MNp9A3sS6nch1q26lM0gvK6t3ex9nO5nlLJFscTyuQXdSdtSpOvD5Nfu/cJItKE1t3h6b7Ai6KiGPw/A088dvhJo64ZTCZTLy2MhqTCWb19WdgJ49WHY/g4qBRYrVo0SL69OmDi4sLLi4uDB8+nDVr1sjvL1++nKlTp+Ll5YUkSURGRjbouHl5eTzwwAP4+flhZ2dH9+7dWb16daM+iKD9sOaRqkLhuUv2N+kYwV6ODOrkjtEEfx2qv+YKIPKlyfLjqz7f2aTzWtPdz4WHJ3Qh0N2efS9Mwk6t5GmLJ+LMPrYt7itNbJsaAswt1vHW2hMAbD6R0YxRN5+1R8+y15KqPm96t1Ydi+DioVFiFRgYyMKFC9m/fz/79+9nwoQJXHHFFRw7dgyA4uJiRo4cycKFCxt8TJ1Ox+TJk0lMTOSPP/7g5MmTLF68mIAAEcMW1Ex3PxecLIvxESczm9zK45qBlpqrA/XXXIE5e8+a5s6ulAqJx6eEs/2ZCdhZMgB7B5ibMB5LybfZtjnt7E0mE6PfrqpPW20l9heaMn1Vqvo9Y0IJcLNvtbEILi4aJVazZs1ixowZhIWFERYWxvz583FycmL3bvMC8Zw5c3jppZeYNGlSg4/57bffkpOTw99//83IkSPp1KkTo0aNom/fvo37JIJ2xdanx8uPx77dtELhmX380KoUnMooIuoccaiNwy9PkR+3xOzqXHr5m8UqMbuEAqtuxc3JBPw7MkUOKw4N8aBTA1uSnA++3ZHAmVxLqvo4kaouaDhNXrMyGAwsXbqU4uJihg8f3uQBrFixguHDh/PAAw/g6+tLr169ePPNNzEY6l4ELi8vp6CgwOZH0H7wcNTI7eoLyys4ntb4/38XOzVTenYAGp5o4WqvJtSqWWJ0ast+79wdNQS6m2cbR60EtKnt7M/klvDYsqo1qveub72bwIyCMj6zuNg/M60bDhqRqi5oOI0Wq6ioKJycnNBqtdx777389ddf9OjRo8kDiI+P548//sBgMLB69WpeeOEF3nvvPebPn1/nfgsWLMDV1VX+CQoKavIYBBcnX986SH48/aNtTTrGNZaswBWHU+Vkh/rY9OQ4BnR0A+D99S1vcls5uzqWUiWEOU3wBTQYTTxulUwxJMSjVR0i3vnvJMU6A32D3LiynwjzCxpHo8UqPDycyMhIdu/ezX333cdtt91GdHR0kwdgNBrx8fHhq6++YuDAgcyePZvnn3+eRYsW1bnfs88+S35+vvyTnFy7p5rg0kSjUvDwxK7y89VRaY0+xuiu3vg4a8kt0bOpEYkH71zXF4UEG46nczg5r9HnrYvegWaxiqphZtUYsVq8LZ69CVU1YbPOSdq4kBxOzuN3y+z1pctEqrqg8TRarDQaDV26dGHQoEEsWLCAvn378tFHHzV5AH5+foSFhaFUVlnMdO/enbNnz6LT1b5wrtVq5azEyh9B++OxSVVidf/PBxtdKKxUSFxVWXPVAPulSjp7O3FVf3OCxnstPLvqZUmysA4D5pY0Lgx4NCWfhWtOyM/9Xe24opUKb41GE6/8a07Curp/AAM7ubfKOAQXN82uszKZTJSXlzd5/5EjRxIbG4vRWBWCiYmJwc/PD43m0qjUF5w/JEnii1sGys+b4t93raXmavOJDLKLGv5dfmRiV1QKia0xmS3qatHL33zjFZ9VTKElyaIxJrbxmUVc9sl2+blGpeCDG/rhYqdusTE2hr8jUziUlIeDRskzIlVd0EQaJVbPPfcc27ZtIzExkaioKJ5//nkiIiK4+eabAcjJySEyMlIOC548eZLIyEjOnq3ycbv11lt59tln5ef33Xcf2dnZPPLII8TExLBq1SrefPNNHnjggZb4fIJ2wLReHeTHn22Oa7RDQ1dfZ/oEulJhNPFPZMO9/zp6OnDdIPNa6bv/nWyy/dO5eDpp8Xc1FyFXJnBUimh9qetRZ/KZ8N4W+Xl3PxfWPjKaoZY+XheaovIKFlhmeA9O6IKvi109ewgENdMosUpPT2fOnDmEh4czceJE9uzZw9q1a5k82VwsuWLFCvr378/MmTMBmD17Nv379+eLL76Qj5GUlERaWtXaQlBQEOvWrWPfvn306dOHhx9+mEceeYR58+a1xOcTtBPWPTZGfnzn9/savb91n6vG8NCELmiUCvYk5LAzLrvR562NylBgVEo+eoORgjJz6nldqeupeaXM+rRqRnX7iGBWPzyKUG+nFhtXY/l0UyyZheV08nTgf6NCWm0cgoufRuWOfvPNN3W+f/vtt3P77bfXuU1ERES114YPHy7XagkETSHM1xl3BzW5JXp2xGaTVVSOl1PDa5Iu7+vPG6uiOZZawImzBXTr0LA1UH83e24a2pHvdyby3rqTjOjs2WQ7JGt6BbiyLjqdoyn55FpCgAoJ3OxrD+VZh0Cv6h/AK5f3bPY4mkNiVjHfWtzkX5zZA62q5tYnAkFDEN6AgkuGTU+Mkx+PfqtxhcLujhomdPMBGl5zVcn94zpjp1ZwMCmPiJOZjdq3NiqdLI6mFsiZgO4Omlqz6EwmE8sPVtlGvXlV7xYZR3N4Y1U0OoORMWHeTOzu09rDEVzkCLESXDK4O2qYaBGcUr3BJpuuIVSGAv86lEpFIwxyfVzsuHV4MADvrW+ZtavKMGBcZhFnckuBupMrrIXqf6NCsNe07iwm4mQGG45noFJIvHRZjxaZbQraN0KsBJcUi6wyA60z4hrCuHAfPBw1ZBWVs+1UVqP2vWdMKI4aJUdTCvjvWP09surD21mLr4sWkwm2nzLP1moTq+ScEp74var4d1J332afvznoKoy8ttKcZHX7iGC6+LTempng0kGIleCSQqNS8PjkqiaNKxrR2VejUnBFP38A/mhkooWnk5Y7RpoTCD5YH4PR2PzZVWUocEtMpuUc1cXKYDQx7t0I+XkHFzv6Brk2+9zNYcmuROIzi/Fy0vCwVR2cQNAchFgJLjkemtBFfvzwr4caJRyVocD1x9LJL9HXs7Utc0eH4myn4mR6ISub4KZxLpWhwMTsEqDmmdX0j7ZisHw+ZzsVfz0wolU99zILy/log7kp5tNTu7VabZfg0kOIleCSQ5IkFlv5Br7134k6tralp78L3To4ozMY+fdIw2dlAK4OauaODgXgww0xjVr3qonKmVUl1mnrRqOJ27/bS0x6kfzanucm4ufaui033vnvBIXlFfQJdOVaSwsWgaAlEGIluCSZ3KNq3ebLLfGU6RtWKCxJUpNrrgDuGBmMu4Oa+Mxi/m5EgXFN9DpHrCqtlkp1Bv73wz6bzMP4N2e0uov5kTNV/n8vz+op/P8ELYoQK8Eli3Wh8G3f7m3wflf090epkDiUlEdcZlH9O1jhbKfm3rHmPk0fbYxB34zZla+LHd7OVbMpD0cN6QVlXP/lLjZbCdXBFye3ujCYTCbeWHkck0n4/wnOD0KsBJcsYb7OcmHwnoQc0gvKGrSfj7MdY7p6AbC8CbOrW4cH4+WkJTmnlN/3N35/a6xDgQWlei7/dLuNG/sPdw5pcqv7liTiZCZ7E82t6p+aFt7awxFcggixElzSrLeaXY16a1OD96tsef/XwZRGZ/bZa5Q8MN48u/pk06kGhyBrotLUFuC1ldGkF1QZ7d42vBNjLQ0oWxOj0cTb/5ndM24fEdzq62aCSxMhVoJLGndHDVN7mtev9AYTkQ3sPTWpuy8udipS88vYFd94z78bh3TEz9WOtPwylu5NavT+lXT3qxKrcqvmkF18nJg3vXuTj9uS/HskleNpBTjbqbhPtKoXnCeEWAkueT6+sb/8+MrPdjRoHzu1kll9zTVXjbVfqtz/QUsK/WcRcZTqGj+7Kq8wyAkLAI5asyuFSiHx4Q39Wt2lAswFwO+tM/fzumdMKG4OrR+SFFyaCLESXPJoVUqenFJVKPzXoYaJT2UocM3RsxSVVzT6vNcNDCLQ3Z7MwnJ+3J3YqH1zi3XcvHiPTffiynqqx6eEVcsUbC2W7U8mKacEL6uiaIHgfCDEStAueGB8VaHwY8sOyxf+uugf5EaolyOlegOrm1Dkq1EpeGSi2cHhiy3xDRI8g9HE7vhs5ny7h/2nc3Gwmj2V6Y0MCfbgnjFtI9RWoqvg443mAuCHJ3bBUdu6qfOCSxshVoJ2gSRJfG1VKPzm6uMN2qdydtWUUCCYW3WEejmSU6zj+x0JdW6bXlDG6Lc2Mfur3RxNMa8BWVtHqRQS713fF2UbqV/6bkcimYXlBHnYM3twx9YejuASR4iVoN0wyapQ+JvtCRQ3YKZzVf8AJMmc+p6cU9Loc6qUCh6x+ON9tTWe/NLaLZwOJeWSml+GvVrJdQMDWfnQKLKKdPL7Ps5agjwcGj2G80FeiY4vtsQB8MTkcDQqcSkRnF/EN0zQrrBOZb+1AYXC/m72jOhsbglv3YajMczq40+YrxMFZRV8sy2+1u0KLd2Ah4Z68M51ffFxtmPZvqpMwvSCsmalwbcki7bEUVhWQbcOzlxuSUQRCM4nQqwE7Yquvs50cLED4MDpXFLzSuvdp9J+afmhM03qVaVQSHI479sdieQU62rcrnJNy8my9rNgzXFyrcx0DSaISS9s9PlbmrP5ZXy/IxGAp6aGt7p7hqB9IMRK0O5Y88ho+fGIhfUXCk/r1QFHjZLT2SXsP53bpHNO7dmBnv4uFJVX8OXWuBq3qZxZOdup2XwygyW7TlfbJqqRDSXPBx9vOkV5hZFBndzl7soCwflGiJWg3eHuqGFG7w7y8wOnc+rc3kGjYkZvPwD+aKJ9kiRJPGFJn/9hZyIZhbbWT2V6gyyEugojT/9xBAA/V/MsMMDN7ArR2O7HLU1CVjHL9iUD8Mz0bqIDsOCCIcRK0C754IZ+8uNrFu2qN7xXmRW4KiqtSQW+AOPDfegX5EaZ3siiiKrZ1dn8Mm74ajdbYzJRSLDheDqZheV09XHC2c4cEhxjsVU6mlLQpHO3FO+tO4nBaGJCNx8GB3u06lgE7QshVoJ2iVal5KmpVYarf0fWnDzxT2QKx1LzGRLsQaC7PUXlFayLPtukc0qSxJNTzOf8eXcSafml7E/M4bJPtnM4OQ9XezUz+/iTX6pHrZT4cHY/ec1qbJjZWPfk2UJ0Fc3rk9VUjqbks/KIud6s8nO0FWIzCttM8ong/CDEStBuuW9sVXHtY8sOV2uWuDs+m0eWRjLz4+2cLSjjakuixR9NrLkCGNnFkyEhHugMRh5ZGsmNi3eTVVROtw7OfHpTfzYdTwfgiSnh9PBzIdeSjNEn0A1XezU6g7FJSRbfbE9g7pL9zbqgf7DebKs0q68/PawMdlub42kFTHp/K3O+2dOgYm/BxYkQK0G7RaGQeO+6vvLzTzbF2ry/0SIcAK+vjOaaAQEA7IjN4mx+w9qNnIskSTxi8Qzcm5CD3mBiRu8O/HbvcD5YH0OxzsCQEA/mjg6loLSCCsvF19NJQ68As0A0NslixeFUXl8ZzfrodHbFNd6UF+BgUi4bT2SgkOAxS91YW8HTUYNaKbEvMZcfdyW29nAE5wkhVoJ2zdUWAQL4aOMpCsuqUsW3xFQ1OFxz9CyFZRUMDnbHaIK/DjWt5iq9oIwPNpySn/fyd+Gzmwbww45EDibl4axV8b7FpSK72NwOxFGrJKOgXPYDbEySxfG0Ap6xJGsAnG1gT69zeW+duQXINQMCCfV2atIxzhc+LnZc3d88633nv5OkNKAcQXDxIcRK0K6RJIkldw6Rnz//11EAUvNKiUkvQiHBuHBzcsMH62O4dmBVy/vG1FzFZxbx/F9RjHl7s43nX3RaAWuOpvGhxWPvtSt7EuhudqmorMcqLjcw+u3NeDmZHc0bKlb5JXru/ekApVahv4Y2oLRmZ1wWO2KzUSslHp7YtmZVldw7rjMKCYp1Bl74K6pJ9XCCto0QK0G7Z4xVA8MVh1NJySuVZ1V9Alzp3sEFhQQbT2QQ4GaPnVpBbEYRR87ULRomk4k98dnc9cN+Jr6/hZ/3JFFeYaRvoCsrHxrFpO4+GE3w1B9HMBhNzOzjx5X9qmZ62ecUD9urzAJ3/GwhekPdSRZGo4lHlx3idHYJAW723D4iGGi8WJlMJt63tACZPbhjm7F7OpcQL0emW8oLNp/M5N8jjTceFrRthFgJ2i3WWXV/3T9Cfnz/TweIsLTmiDyTz6ItcVSu23+xJZ6pPc01WrUlWlQYjPx7OJUrP9vBDV/tZsPxdEwmmNjNh1/nDuPvB0YS6u3EYxZXi+JyA15OGuZf2cumbulcp4vZQzribKdCV2HkVHpRnZ/to42n2HwyE61KwZdzBhLewRnAptNwQ4iIyWT/6Vy0KoXcn6utcr9V48dXVxyTk1MElwZCrATtkldWHCXshTW8vdbsvt6/o7tsw3T4TD7/RafXuN/22Cx6WLr3rjicSnlFVYitqLyCb7YnMPadCB769RCHz+SjUSm4cUhHNjw+lm9uH8zwzp6yIFnPckK8HKs1LjxXrFRKBT0tWXh1hQI3Hk/nI0tYMdDdniB3B/mzNSYxxGQyyWtVtw7vhK/lGG2Vnv6ujLeEbLOLdcxvgLO+4OJBNKARtEu+32m2Mvo8Ip7PI2o3l7VmRGdPdsZlsz46HV9nLemF5Ww6nkG/jm58vyORX/YmyZZJHo4a5gzrxJzhnfBy0lY7VlZRuexSAbAvMZejKfk2TRWzi6rPDHoHuLI7PoeolHyuHxxU7f2ErGIeXRYpP4/LLObenw7wwmXdAao5Z9TFf8fSOZpSgINGyb1jG95DKzmnhPIKI118Lnwixv3ju7D5pDmE+8eBM1zZL4BRXb0u+DgELY+YWQkEtRDi6cDDltCXWinxwszuaFUK9p/OZZDFveHDDTGMfmszX26Np7CsglBvR968qjc7503gsclhNQqVyWRi3p9RZBXpCPN1YlYf81pLZR1TJTnFVSG724Z3AqjKCEytPrMqLq/g3h8PUFhWwaBO7vLru+Kz8bQkZ2QV6RpUVGwwmnh/vXlWdefIEDxr+Bw1UVRewV0/7Oeqz3cQcTKj/h1amMHBHgyxctZ47q+oJjuOCNoWQqwE7ZLEhTPr3SYhu4QHxnehX5AbeoOJddHpzBlmFo1TGebC3NiMIiqMJoaGeLD41oGsf3QMl/fzx06trPW4y/Yls+F4OgoJYtKL8HezR6mQ2Hgig4NJVUa51inYt1taxve2iNXxtAKbImaTycQzfx7hZHoh3s5aPr95AC/P6iG/vyvOnM0HkFlU/7rVyiOpxKQX4WKnYu6Y0Hq3r0RXYcTFXkVhWQV3fr+Pr7fFNzoz742V0fR9dZ1NnVtjuG981SwwKaeEDzfE1LG14GJBiJWg3RLx1Lh6t/l5TxJ3jAwG4Jc9Sdw1OgQHjZKY9CKCvRwxmOCesaEsu2c4Ho4abvp6D8/8cYQ3VkZzNCUf4zmOColZxby2MhpATtpYtj9ZLji2nl3FZxbLj0O8HAEI9nTESauiTG8kNrMqyeKb7QmsPJKGSiGx6OYB+LjYycJW+b6Pc8PWrSoMRnkcd48JxdVeXe/vqRIPRw0/3TWU6wcFYjTBG6uO89QfR2zW9upixeFUvt6eQH6pvskO9+PCvOV1RYDF2+Jb3QBY0HyEWAnaLcGejiQunCnPlmritZXRjOjshZeTlozCcj7eeIrKiYK/xRF9W0wWUGWJtCoqja+3J3DZJ9sZtmAjz/xxhA3R6RSW6nlk2SFKzglLbX16PA9N6IpaKbHtVBZ74s0uE+emroPZdaPS6ijKKnX+p93mNbg7RgbLIcquvs7y+0dTCnDUmmd7GfWkr/958AyJ2SV4OGrkGV1j0KqUvHVNH166rAcKybx2dNPiPWQW1j2jS84p4eFfD8nPH22iU4YkSTwwvipz0WiCZ/48Us1OS3BxIcRK0O55fmb3askAvay8777cEsdV/c3dcH/Zm0yp3sDQEA9eu6InGqWC6LQColMLUCvNaeLf3TGYCd18cNQoySgsZ9n+ZO5asp/er67jcHL1O/w1UWkEeThwgyVh4r11MRiNVRfWjh72NttXzpiOpVY5sF9uqc9ac/Ss7P/naq/G16VqrSnPYopbl4tFeYWBjzeabafuH9dZbgTZWCRJ4s5RIXx3xxCc7VQcOJ3LFZ9ur3WGYzKZGP32Zvn5xifGolXVHkqtj2m9OhBqmY2C+Xf1zfaEJh9P0PoIsRK0e+zUSr64ZYDNa7OHVGXafb09gd/2VdVU3TUqmF/mDqOLjzMTu5ubD/550Py+JEmMD/fh29sHc+DFyfz4vyHcOrz2mRvAM39GselEOg+O74pGpWBvYg7rrNZrbh9hO7upySPw3rGh+LpoOZNbyneWLr4AYVazqwzLzKYusVq2L5mUvFJ8nLXcUseMs6GMDfM215V5OZKaX8Z1X+xiTVT1gt25Sw7Ij1+e1YPOzbR0UiqkahmM76+PITGruJY9BG0dIVYCAdDFx9nm+Qt/H+OmIR3l5/llenmWUVZhRGlp5V7Z8v6fyJRqrhJ2aiWju3pzZwNCaXd+vx9nOxW3DDULxBsrq2qErIUTqmZW0akFssu4g0bFM9O6AfDpplNyirr17KKSjFoKg0t1BtnM96EJXepMEmkMnb2d+Ov+kYzu6kWp3sB9Px/kww0x8nrelphMNliJ8x1NCD3WxJX9A+TmlQDlFUaeE1ZMFy1CrAQCC3NHBds8//1Ass3zhyea10H+OZRKUbm5nmpsuDeejhqyinRstTK+teaLLTW3sQd4elpVX6iMwnLuG9cZe7WSM7lVmYAOGttQXIiXEw4aJaV6A/FWSRZX9gugb5AbxToD76w1p51X2iP5OFeFA5NzSmocy4+7E8ksLCfAzZ4bBnescZum4uqg5rvbB8vC/eGGUzz460FiMwq57du98nYHXpjUYufUqBTMHW3OZFRI5vKDnXHZ/N6MFi+C1kOIlUBgYW+ibfaZ3mCS070BVh5JI8TTgcLyCv62uK6rlQqusKwXVYYCrdkQnc7SfcnVXq/Ew0HD8demsfnJcYR4OeLtrOU2i49fbSgVkpztZh0KVCgkXrGkq/9+4Az7E3PoWClWLlo6e5tnWXGZ1a2aisor5O7Fj0wyhyNbGpVSwUuzevD2NX1QKyVWR51l+kfb5PdfmNm9wfVcDWX2kCA8HDUYTVUh0fmrjteb7CFoewixEgiA7KJyDtdgTKs3VIWMjpzJp7+l2Pan3aflcNI1A81itSE6g7ySqgy+zMJynvnT7FLh7WRrpVRJmd6AvUYpp6YD3GNV11TZ1v5cKouDz+1t1b9jVTHwtV/sItCSnJGcU8rNlhBjbom+WqHst9sTyC3RE+LlyNX9AzifXD84iF/mDkOrUsi/X2c7VYuF/6xx0Ki4wyL+5RVGevi5kF+q59V/j7X4uQTnFyFWgnaPyWTivp8Pys8dNbZ/FipF1exq+6kstCqJE2cLOWCpA+rp70p3Pxd0BqPs9m12qThCdrGOLj5OZNZgnQTm9a+6MBhNNXa/7V1Hb6t507vJj/85lApAfqmeKT195dd/2XNafpxXomPxVrPl1KOTuqJSnv/LQlxGEeVWn71UZ2B5DTPTluDW4cE4aVXEZhQxtWcHlAqJlUfSmlx0LGgdhFgJ2jWZheXc9cN+9ibkyK+tf3yczTYVRhOVcpVRWE54B3MIbsmuqgt+ZVHvn5b1kF/3JrPxRAYapYIZvfxqPX9NbeaX7a8KG5boDKw8klptm15W6evnFh5XJn0AfLk1Hg9H86wut1iP1hLe+3ZHorzf4m3xFJZXEO7rzKw+/rWOtaU4nJzH838flZ8HuNlTYTTx1B9HmL8qusVb07s6qLl5mHkNLiImg/+NMs/gXvj7qLz2KGj7CLEStFvWR6cz7cOtbDxR5WH369xh+LvZV9vW+vJ5PM1c37TmaJpcYHtFvwCUConI5DwiTmbwusWl4ulp4Rw+kweAt3P19Zia3CS+22FbD/ThhlPVClo7eztip1ZQojMQf046trezlu5WDg46i3tEUo65txWYrZw2HE8nq6hcTnV/fEoYCqtZ5Pkgu6ic+346IAuSs52Kv+8fITd1XLwtgTu/30eBVcfmluB/o0LQqBQcSspjeKgnHT0cSMsv4521J1r0PILzhxArwUXHnvhs7vhub7PWHb7fkcDcJfuruUQk5RSzMy6rzn31BhNeThr0BhM/7EoEzAIxztLE8ek/jlCqNzCisyfXDgyUj/fizO7VjrXzVHWzV+ueUw4aJQlZxSy3JHRUolIq5CSLmkKBk3tUhfyKyqvEys+tKpV78bZ4FkXEUaIz0CfQlSlW+5wPKgxGHl56iFQrgX56Wje8Xex4fHIYn900ADu1gi0xmVz12Q4SWrAmysfZjhsGmUsAvt2RwIKrewOwZPdpDpzOqWvXFsFkMhGbUcjSvUkX5HyXIkKsBBcdjloVm09msmxfco1htIZgbRJrzTN/RnHT4j317p9lWYP6bkci5ZYxXGNpeZ9RWI6LnYp3r+vLlphM9AYTod6OXN4vQG5NX0lSXjlD569n9le7WLD6OCXnhKVmWLrffrThVDW39LrWrcaFe1d7LSmnBF/nKrHal5jLEovYPjEl3Kbx4/ng3XUx7IjNlp/fNSqEW4ZWpcjP7OPHH/eOwM/VjrjMYq78bAfbT9V949AY7h4TilJhtrRysVNz7cBATCaY92dUg70LG0qlOP24+zQP/HKQwfM3MOn9rcxbHsX9VuujgoYj+lkJLjp6+rvg52pHWn4Zu+OzGRfu0+hjPDejO9cMDCQ1r5Q7v98vvz6qixepeaWczi7G0IClkxKdgWs+30EHN3sb0dCqFDy3/Ag5luzAzl6OvPh3VI09qtILdaQX5rA7PqdaW42r+wewNSaTlLxSftufbOMq0bOWjECAvoFuuDuoyS2pCqedSCtgWGdPm+30BhODg90Zc557Pq09mmZTb3bv2M48M626QPYKcOWfB0dyz48HOJSUx23f7eXFmd25bURws8U0yMOBK/r6s/xQCp9HxPLmVb2JOJnBqYwivoiI55EmehGCWZwSsorZEZfN7vhs9sRnyzc01rg7qHl2evUZtqB+xMxKcNEhSZJs1lpfe/dKissryC+tunBLkkS3Di4M6OhO5TLNznkT+OmuoWx6chwx82fwyez+DTr20bRCNhzP4KxV+C6zSEdETBZHzpjXt9Yfz+DH3UnUp38nz/k8fm72sinrp5ti5ZmkwWC08Qi0TrLILdahVEiMDbOdXR1KzsO3hnWzOcM6nddZVWxGEff+VDWbeGhClxqFqhIfZzt+nTuMqwcEYDCaeOXfaJ77K6pBfbjq475xZgumtcfOkl1czsuzegLw6eZTnEovbNSxyvQGNp/M4OV/jjLu3QgmvLeFF/8+yqojadWESqtScP+4zmx5ejxXnufSgEsVIVaCi5LKrLaKBmSOZReV0/uV/1i6N6nae9tOZVkKRp1sEiviM4vQqiXCfS98t1trPBw1zB4ShL+rHWcLyvhlTxKlugpGvb2Jl/85ikYpUVRewcmz+cRnFjDo9XX0f309ecXlNc44c0qq3+0fSs47b+MvKq9g0vtb5OcPT+jSoJCjnVrJe9f15fkZ3ZEkc3blLd/sIbsBvbjqoquvM1N6+GIywaKIeC7r48eEbj7oDSbmLY+qlll5LknZJfywM5Hbv9tL31fXccd3+/hh12lOZ5egVkqE+Tph/dEUElw/KJCIp8bx9LRuuNg1vN2KwJZGidWiRYvo06cPLi4uuLi4MHz4cNasWSO/v3z5cqZOnYqXlxeSJBEZGdmowSxduhRJkrjyyisbtZ9AUBcmzG0ievq7Vntvi8Ui6dxZyO74bO7+8WC1mU59fHvbINkpolsHs2PCNf0DOP7qVD65sR9gFsaGoFZKuNipyMwvQ2GZk722MpruL/1HWn45exNz0VlildM/3sGE97aRVWyePfZ7fQNDg905VxNqcn1fti+Z/JKWzb4Dc2is18v/yc/vGBnM41PC69jDFkmSmDsmlG9vG4yzVsXehByu+GyHnI3ZVO63zFT/iUwhJa+U16/shaNGyYHTufx8zg1NeYWBbacyee3faCa8G8GYdzbz8opjRJzMpLzCiL+rHTcN7chHs/tx58gQUnJL5RYyE7r5sOaRMbx9bV/8XKtnmAoaR6PEKjAwkIULF7J//37279/PhAkTuOKKKzh2zJyVVVxczMiRI1m4cGGjB3L69GmefPJJRo8e3eh9BYK6cLVXs+WpcYw6Z13GaDTJYnXuLGRid188Hau7TmiVEt51WAK9vOIYo8PM54nNMAvdVQMCsdeqiLEI38BO7jaFxrWhN5gIeXY1o96J4Ex+42cUw9/aLF847TVmU9rhobZrVp29HSnRGfilhllnczCZTIS9UHUjO61nBznk1ljGd/PhrwdG0MnTgTO5pVyzaCfrjp1t8tj6BbkxsosnFUYTi7fGE+Bmz9MWE+C31pzgYFIOP+0+zV0/7KPfq+uZ881evt2RQHxWMSqFxLBQD56d3o3/Hh3DlqfH09PfhddXHufLrfEU6wz0DXTl17nD+Pb2wYR3cK5nNIKG0qgEi1mzZtk8nz9/PosWLWL37t307NmTOXPmAJCYmNioQRgMBm6++WZeffVVtm3bRl5eXqP2F7RfKoxGTqUX0sXHqdbQklqpoJNndffx42cLyCwsx0GjZFCwu817/m727H5uIp9HxPLB+lPy65/ePIAANweu/HyHzRqKQjLP3pJzS/l5d5JlbCac7VQMDTWvr508a14T6erjzJtX9+bpP44078M3AieNilKdgcIy22zD8eE+xGUm8P3OBLkWqbmU6gxM/mCLbKUU6uXIF3MGNuuYXXyc+eeBkTzwy0F2xGZz948HeHJKGA+M79Kk9bYHxnVhR2w2S/clc++4zoR6O+LjbG6wefXnu2y29XHWMj7ch/HdvBnZxQtnOzUmk4l10enc9/MBuaNzRw8Hnp4Wzszefuc9s7I90uRvpsFgYOnSpRQXFzN8+PBmDeK1117D29ub//3vfw3ep7y8nIKCApsfQfvBaJky/HMoleu+3NWkxnoRJ82zqhGdPWts9KdWKpjVxx9/Nzt5lvXAz4coqzDw/AzbjC6jCewsF3prP0E/VzvUFvuiGMsCfngHZzpZDGbrQyFBuK8jax4c0chPZ0uuZa1qVZStG4a3sxZfFy3pBeX8e7i6U0ZjiUkvZPD8DTau8RufGNvs4wK4OWj4/o4h3GbpD/buuhgeXhrZpPKF4Z096RfkRnmFkakfbGXON3vlfl9gbmvy1NRwVj88mj3PTeSta/swrZcfznZqDpzO4dovdnHPj2ah8nDU8MqsHmx4fCyX9fEXQnWeaLRYRUVF4eTkhFar5d577+Wvv/6iR48eTR7Ajh07+Oabb1i8eHGj9luwYAGurq7yT1BQUP07CS4ZNllcJ2Izi5jQzadJvZdqW6+yJtTbiY2Pj2PHMxOY0sMXncHI/FXHGdnFk3MjeZXzLOuX4zKLOXW2kFKdgdOW1hxhvs4NHu/6x8Zw95gu3P7DgWrv9QuqvgZXG5WJKInZtu1B4jKLZJf3xdvim9zryWQy8du+ZKZ9uNXGwujE69Na9OKtVip49YpezL+qFyqFxL+HU7n+y101OoHUhSRJ3G/JDCzRGfB01HDtwECm9eoAmL0UbxnaiR7+LvL44zKLuOfH/VyzaBcHTudip1bw4PgubHlqHLePbJlZqaB2Gv3bDQ8PJzIykt27d3Pfffdx2223ER0d3aSTFxYWcsstt7B48WK8vBpX5/Hss8+Sn58v/yQn196GQXBpkVuik1u0AzhpVfT0d2HWJ9u5+vMd1ayJaqKgTC8b0Y4Nq7tOy16jxE6j5I2reqFRKjhwOpdn/ozCaAKl1YVYV2HEzV5tk55uMJqY9dl2vtkej8lkzu7zctLUKVauVk7r0z/axhO/Hybdctdvp1LgYHk7soZkiYbgYbUWF5NexM1DOuGgUXLibCHbYxtfhFtUXsFjyyJ5+s8jWCfTbXt6fIs1cDyXm4d24qe7huLuoObImXwu/3Q7kY3MapzU3ZcwXycqjCbuGBnMu9f15aPZ/ejs7UhWUTlvrjY3wMwoLOP5v6KY8sFW/juWjkKCGwYFEfHkeJ6cGo6zyPC7IDRarDQaDV26dGHQoEEsWLCAvn378tFHHzXp5HFxcSQmJjJr1ixUKhUqlYolS5awYsUKVCoVcXG1N63TarVyVmLlj+DCYjCaeOCXgwTPW0V06vkPwxqNJpbsSmTI/A02ry/ZdZoTaQVEpeRzMCmvQcfaGZuFwWgi1MuRjp4NC8n5ONtxRT+z0WtlSO/OkcE22+SV6uUeWHZq859Xmd7Iu+tiAOS1tcr3aqLAal2pMttPAl67vDsejmpKmum96mpfdXGNzSjCxV7F9RYrosXbGhdOjU4tYNYn2/k70jaEuOTOIXLjx/PFsFBPVjw4inBfZzIKy7n+y11yn7GGoFBIct3VdzsSKdUZ0KqULLymD2A2FH78t0jGvRPBz3uSMBhNTOruw9pHx/DWtX3oYNWFWHD+afa81WQyUV7etNqHbt26ERUVRWRkpPxz+eWXM378eCIjI0Vor41ToqtglaUlxoyPt/HQr4fOq4v1P4dTeOmfY/KakL+Vz91X2xL4+a6hPD45rEEtLirXq8bWYEtUFxO7mWdhlYkKLvZq2QG9ksrxlenNMzzrBo6xGYUkZZfUOeOoKRDX0cOOl1YcJ/WcrMAhndwI8Wxcw0Jrz72i8grS8sv436gQFBJsjcnkxNmG3Xik5JVy89e7q3n4PTkljDF1hFZbkiAPB/68fwSTuvuiqzDy6LJIFq450WDn9ll9/Al0tye7WMeyfebEmH5BbgyxJNwsP5hCic5A3yA3lt09jK9vGyw3cRRcWBolVs899xzbtm0jMTGRqKgonn/+eSIiIrj55psByMnJITIyUg4Lnjx5ksjISM6erUozvfXWW3n22WcBsLOzo1evXjY/bm5uODs706tXLzSamhvWCdoGznZq3rqmt/z838Op9Ht1Hcv2JbV4mwcAX5cqcXrl8h7snDdRfp6QVczILl6ye3ddmEymBq1X1YTdOb2uYjKK+Hh2v1q3lySzeAVYhDWnWM/MT7axo5HhttM5Na/J3DQsGB/n5s1gNh5PJ8jDgemWViZfN2B2pasw8sDPB8kt0RPgZo+jJTV+Undf7h/XpVnjaSxOWhVfzRkor0F9sSWOu5fsp7ABzu0qpYJ7x5r3+3JLHP8eTmXqB1ttukZP6eHL3/ePYOg5af+CC0ujxCo9PZ05c+YQHh7OxIkT2bNnD2vXrmXy5MkArFixgv79+zNz5kwAZs+eTf/+/fniiy/kYyQlJZGWltaCH0HQmtwwuCN7n68SjQqjiWf+jGLWJ9vrdS9vLCM6e3G7JRngww2nOJ1djFcT2qCfyigiLb8MrUrBsEZegIZ39rJJoNgTn42Ho4ah56S+g7n9fGW+QmUCQJivE4VlFTz+22F5u8aGN/64bzizLWG7R5dFssfqwtoUXvrnGC/8HcX1g8xGvP9EpsitT9LyS1l/LI03VkazIzaLvGIdx9MKeHP1cSKT83DWqlApJYp1BkK8HHn/hr7nvc1ITSgUEk9P68ZHs/uhVSnYeCKDaxbtJOmchJKauHZgIG72atIKynno10PEZxXj6ajhxiFmk92NJzKIbmYhsqD5SKampv+0MQoKCnB1dSU/P1+sX7UCsRlFXPX5jmp1PJN7+PLcjO42bdsbQ8TJDArKKpjSwxeNUsGehBwe/y2StPwyvJ019A9yY120OTNw9cOj6eFf///9V1vjeHP1CcaGefPDnUMaPaaRCzeSktew7DMJ27DevOndeHvtCZtEhGv6+/PnobrTxpUSdHS3JyGnZrf4lkCjlPB20pCSX8794zrz9LRu3LtkH2ujq8x1lRL4utqTanGt79bBmRNnC7FXK/n7gZFtogj2cHIec5fsJ6OwHDcHNZ/fPIARnWtO4IrNKOLttSdYF23uGixhdri4d2woznZq7v/5AKujztIn0JXl9424IF2UL1bO9zVY/OYFLUIXHyeW3T3cJtMMzA0Op3ywhTdWRpNfqievRMeO2CyOpeajryNrz2Qy8e5/J7n9u308/Oshhr65kQFvrOfGxbtJs8xSMgt1bLNqITH7q121Hc6GKteKpq2rTO3ZodprXk4aXOyq19hbC5VWpcDdQY3RhBwWBOoVKgCDifMqVGBO5kixrIl9uTWOtPxiG6Fy0CgxmpCFqrO3Iycshc5vX9unTQgVQN8gN/59aBR9A13JK9Fz6zd7+XH3aZttMgrKeO6vKKZ+uJV10eYMP7VSwgT08neRM/xeubwnLnYqjpzJ5/udiRf+wwhkxMxK0KIcOZPHbd/utWlNURtalYIBHd0ZHeZFuK8znTwdMZpMRJzM4I8DZ2R7Io1Sgc4ibE5aFaO6eLHpRLqcKWfN2kdH061D7f//xeUV9H9tPTqDkU1PjCXUu/FGtVtiMrnt2702s6ae/i4MDfHk23O6/CoVks363YPju/Dp5thGn7O5nDvDayz3jg3lySnhTHp/C4nZJWiUCpQKiVK9gf+NCuHFy5pea3m+KNMbeObPI/xjyVScM6wTj08J47sdiSzeGk+ppZh4cg9fnpkWzorIVD7eFEuvABf+fXCUXF+1bF8Sz/wZhZ1awbpHxzY4e7S9cb6vwUKsBC1O1Jl8bv12T4MEqy4cNUpeuKwH1wwIZHd8Ni72atQKiTN5payJSiMmvZDoNNu2DgM6uvH7vSNQ1rJusiE6nbuW7KejhwNbnhrXpILVwjI9fV9dJ4fy7NVKSvUGvJw01VpDOGlV5zVDsiEEutvbOEo0BY1SYmAnN06cLbL5fx0S4sHPdw1FrVRQWKZHqZBw0LSdNnkmk4lFW+J4e+1JwDx7qszW7BfkxnMzujMkxGyHlVOsY+TCTZTqDSy5c4ic0Wgymbhx8W52x+cwuqsXS+4cIlwqauB8X4PbzrdKcMnQO9CV/x4dw+qoNLbHZnMwKZcKg9GmfgggwM2eMWFeFJUbiM0oItni8BDewZkZvf24dkAgrg5qisoriM8s4s+DKUSl5KNSmMM1R16azOA3N1KiM98hqxRwMCmPb7cnMHdMaI1ji4gxh7XGhnk3+YLjbKemh78LR1PMi+4DOrmxK7bmZntF5RXNntW0BA5qBSX6pveD0hlM7Iq3TeSwUyu4a1QIeoORjMJyxr8bgdFoooe/CwM7uTOokweDgt1tsjhbg2BPR3ydtaQXlqM3mFApJJ6b0Y07RobYfAc8LEkV3+5I4LPNsbJYSZLEgqv7MPXDrWw7lcVfh1K4ekBga32cdouYWQkuKPmlej7ddIrvdyaiN5hQKiRuHBLEY5PC8HTS8tehMzzzZxQudmqemRbO3oQcVkWlWQmSxKTuvtw5KoQhIR7sTzT7tEGVmaxGpWD1w6Pp4mMb4jOZTIx+ezNnckv55rZBTOzu2+TP8dq/0dVCfm2ZMF8nOaxaH44aJcW6Kr+9+oSuq48Tv8wdyui3N8u1ZdYEutszqJM7A4M9GNTJnTBfZxSSeSbjaq8+b0kLexNyWLDmOIcsheJuDuZ1qLwSPU5aFR/f2I8J3Wy/A2n5pYx5ezN6g4k/7xvOwE4e8nufR8Ty9tqTuDmo2fD42CZlol7KiDBgAxFidXGRmFXMgjXH+e+YOQvL2U5FDz8X9iTk1Lh9qLcjc4Z14vK+/niec5F4ZOkheV2ikr5Bbiy/zzYcGJdZxMT3tqBRKtj97ATu+/kgDhol394+uFGzrMPJeTzz52FOnG1cr6uWxDqc1Vjs1IpqouLtpCarSC/PAMeFeRNhSUQBmN6rA2uONr0tR20EuNnzyMSuXD0goMVEKzajkIVrTrLhuPm7Za9WMndMKHePCUVXYeS+nw6wJyEHSYJnpnXjnjGhNv//z/xxhGX7k5nYzYdvbh8sv643GLn8U3M/rSv6+fNRAztJtxeEWDUQIVYXJ7visnl9ZbRNHcuoLp7kFOuIzypmei8/bhrakUGd3OsUlL6v/kd+qW2Y8bkZ3bh7TGf5+bfbE3htZTQju3iy+NZB9HjJ3Bjwl7lDa01triS3WMcPuxJZsus0OcXVw32tReV6WXNRSPDyrB68siK6VUKWYb5OLLi6t81MprGkF5Tx4YYYlu1LNvs2KiRuGBzEoxO74mMVitRVGHnl32P8ssfsWHF1/wDevLq37CqSkFXMxPciMJpgzSOj6e5XdT05ciaPKz/bgdEE390xmPE1dGNurwixaiBCrC5OSnQVPPTLQTaeyLR5fWiIBy9e1p1eAW4NOk5qXgkjF26uliq+5pHRcsbfrd/uZWtMJs/P6M7cMaG8+PdRftx9mgEd3Xjrmj6sPJJGfFaxpUOvGo1KQXJOCTHphcRl2loKOdupABOFZc0XirpQSVBRy19oqJcD8Vn1F702FD8XLfmlOkr0LXNJGNfNm/6B7uQUl7Pm6FnyS/VsfnIc/x07i4NGycTuvvx1MIXPI2LJLdEjSeaMvUcnhVUrgaiLwjI9X22N5+ttCbJwT+nhy9PTulULBVvz465EXvk3GoPRRL8gN76aM1AWtQd/OcjKI2lc3tefj2+0nUG9sTKar7cnEOBmz7rHxuCoFUv/IMSqwQixuviIyyzigZ8PcuJsIRqVgg9v6MvxtEK+2hpPeYURSYJrBwTy1NRwmzvj2tgYfZb/LbFtpTGokzvL7hmO3mCk76vrKK8wsu6xMYT5OpNRWMbotzZTXtGwxAOtSkF5hZGXLuvOnaNCmffnEZbuE27/lfi7aiguN5JvlUgzqJMbT0/rjp+rXa3GtnklOuavOs7vB84A5gzKN6/uTWdvR57/66jspr7+sTF0tfLl01UY+XVvEh9vPEW2ZbY7oKM5w29QcMNmaDtis7j/54Pkl+rp4GLH4lsH0TvQlWOp+cz8eDsKCTY9MY5gq6L2El0FUz7YypncUu4YGdzkDsiXGkKsGogQq4uLnbFZ3PvTAQrKKvBy0vDFLQPlC0xKXilvrTnBCkszQAeNkvvGdmbumNB6W078uCuRF/85ZvPam1f1xs/Njju+24e/qx075k2QQ4rPLo/i171JKCSY0M2XISHuGE3mu3VdhZGdcdkcszjKf3ZTfxKzS3hgvNn7bvnBMza2SYFudpxpoLPFhcbNTiKvrOF/6hLg7qDG21nLyQYmZlRS2czxXA69OBn3OmZMW2IyeOGvoyTXkma/7O5hDA31xGQysTrqLG//d4LTFjulUC9Hnp7Wjak9fRud5ZmYVcxdS/YTm1GEnVrBO9f2ZVZff+74bi+bT2Zy45AgFlzdx2afrTGZ3PrtXiQJlt83gv4dq9tttTeEWDUQIVYXFyMXbiLF4oSw9/mJ+DhXnzkdTMrl9ZXRcjaXv6sdz0zvxuV96+7GGjxvlc3zADd7JnbzYcnu09UuPKU6A9tjs+jh70KAm73Nfg/9esime+6Gx8fQxafqzj45p4TRb2+Wn/u6aEgvaDvrWU1FpTBnVTbHi1gJnBsg7eztyMYnxtm8llVUzh8HzrBwzYlaj6VVKfj4xv5M7dmBPfHZvLnmBIctsy0vJy2PTurKDYOD5I7MTaGgTM8jvx5is8WN/6EJXRjd1Zvrv9yFRqlg69Pjq7UEeXxZJMsPpdCtgzMrHhzV7psvCrFqIEKsLi4q/9A1SgW/zB1aa9jGZDKx4nAqb605QarFZqlfkBsvzerBgFruZvNKdPR7bb3NayqFRIXRxPvX9623RsZkMjF3yQE5m6ySe8d2Zt70boDZCWNRRCyfbY6zWSerTJ+/mHn9yl74u9oxd8n+Fv8sC6/qxegwbz6LiJMTHGqiWwdn3ry6t/x/fCq9kLfWnmDDcXOdnINGyd1jQpk7OrTF1owMRhNvrz3Bl1vjAZja05czuaUcSy3grlEhvHCOS0dOsY5J728hp1jHk1PCeHBC/Y7/lzJCrBqIEKu2T16Jjmu/2IXRZOKJyeH8uCuR3Qk5uNqr+eeBkTbrAudSpjfw9bZ4Po+Ik2uuLu/rzzPTu1WbERmNJq76fAeHz1TvpHvPmFD6d3RDZzChqzCiqzCiN5j/1RmMlOkNLD+YIs/6AAYEuXEwOQ8JGBLsjlKpIDI5Tx5HW8ZZq6SwvPHjrC2U1xLUJuhTe/oyb7qt6XF6QRkfrI/ht/1VGX43Dgni4Yld2XIyk5VH0vjwhn51hhcby58HzvDs8ijZ4gvM4rjjmQnVzvNPZAqPLI1Eo1Sw5tHRdG6CfdelghCrBiLEqu2Tll/K8AWb5OddfJzQG4yczi6hq48Tf9w3wqaL7bnsiM1i6d4kCsoq2HoqE5PJHCKaOzqU+8Z1lu+wf9p9ms82xZB2CYTk2gsqhcQtwzrx0mXdUSgUFJTp+XJLHN9sT5Brwqb17MBT08JlQagM9753XV+uGdiyjhIHk3K5e8kBsoqqBPuRiV15bHKYzXYmk4nbv9vHlphMhoR4sHTusFZpkdIWEK7rgksGP1d7Blv1fYrNKOJ0dgkKydxj6u4l+zFabrnP5pcx7M2N9Httnbz9HwfO8O+RNLbEZOJqp6aDix3lFUY+3RzLuHcj+G1fMgajCUetkrQCndzttT0zrUfTXTqscdLWndjSXCqMJr7fmUivV9bx6opjjHsngs82x1GmN9Ldz4U/7xvOF3MGykJ15EyevO+ornXXyDWFAR3dWfHgSHoFVF10P9p4qprPoyRJzL+qFw4aJXsTckR26HlEzKwErUJBmZ6fdyfxzfYEm7vXAR3d+Pb2wSgVEr1fMQvVidenYadWsj8xh+WHUlgdlUaelZmqtbN5Dz8XXpjZndT8MiZ282HQ/PVYdyKZGO7Dhzf2Q1dhpNzyk15QyuO/HSbVKpPvtct74myvolxfuZ2BjzacsrEhak80NZzY8OOrKLQIgbuDupoJcoCbPb0CXOjl70qvQFd+2pUo1+YlLpx53sZVqjPwxO+RrI6qcu+If3NGtdlTZcG5s1bFhifGtrofYmsgwoANRIhV26CgTM89Sw6QXlDG+sfH1up+XkmproJf9iTxyaZY8krNFyi1UuL2EcF8uz0Bgwl2PTsBP9eqdSldhZHtsZn8eziNdcfO1iggIzt7Mv+q3qw8ksq762Js3rtxSBBvXNkbpUIiOaeEG77cJSdvQPV6nkr+jkzh0aWRgNmFvKYWJYKmseimAXTycuDBXw/xzLRw4jNLOJqaz7GUfBLr6fb7yMSu9A5wpWeACx1c7FrcEd1kMjHmnc0kW/qJXd0/gHevs+2IbDCauHrRTg4n5zGtZwe+mDOwRcdwMSDEqoEIsWobGI0mwl9cg95gshGZI2fy2BCdTkpeGVlF5WQXl5NTpCOrWIeunqLcr24dyJQe1RsegjnxYvOJDP49ksqG6Oo9rgYHu3PkTB7l59hABHs6cOvwTny2OZbs4qq7+L8fGEm/IDf5eU6xjvXRZ1l79CxbTmbSdN/ySx+1QkLfjPTB6b068PoVPfE6p4whv1RPdGoBR1PyOZqaz9GU/GqOIpV4OmroGeDKQEuftNoyRhuLrsJI2Atr5OfXDAjk7Wv72NyMHU8rYNYn26kwmvjilgFM6+XXIue+WBBi1UCEWLU+5RUGHl92mA3H0ymvMHL3mFBc7dVsiclkby0GtZXYq5UEutvj72rHllNZeDtrySw0hwclCWb09uO+sZ3pFeBa6zGKyitYH32WpXuT2ZuQ02iPu1/uGsqILl6czS/jz4Nn+GFnIhmF5ycj7lJCKZk7Gfu5aElrZgahVqXgqanh3Do82KZuyWQyse1UFiFejmjVCobM3wjA/0aFkFuikwXMcI5Yzr+qFzcP7dSsMVVSGeqrZFZff96/vq9Nfde7/53k082x+DhrWf/42DoThi41hFg1ECFWrc+zy4/w696aF5hVComBwe7sic9BpZB4fmY3BnT0wNNJg6ejFnuNeQF/6d4k5i2PYmyYN5mFZdWaK44J8+a+sZ0ZFupRZ7gnr0THRxtOsXRfcjWjVwVUmyF193PmrWv68PPuJJbtF4vkDSXc24HTuWWUVRhbtMYs1MuRFy/rwfhuPqTll3LvTwc5nJxHqJcj03p14POIOMB2vapMb+DE2UKOnMnjJYuLyf3jOvP0tG4NPm+Z3sBfh1IYFuppk0IPZpulUW9ttjEyntazAx/f2F8W1jK9gRkfbSM+q5gbh3RkwdW9m/w7uNgQYtVAhFi1LjM+2iY7p1f2Q+rq40SvAFd6+LlwWV8//jqUIndsreTB8V14ZFJX+e507dE07v3pIAM7uePtpGXtsbM8ML4zKbml/HskTb5z7hfkxv3jOjOpu2+dqcIVBiN3LznAppMZtW5jfZF10iopamQigZ1aga7CeNEXA7cVtCpJDtsGezrYrFlN7uHLxuPp8u+6puSKtPxSRr21GYPRxNpHR9OtQ8OuBxUGI7MsLUAmdffl69sGVdvm002n5DXQyjYtk7r78NnNA9CqzDdce+KzueGr3UCVRVR7QKSuCy4KHp8cxuV9/Xl+RnfmDDeHXYaFevLBDf2YOyYUP1d77hnTmXHh3jb7fbo5lq7Pr2HEgo2cSi/E7EpnDvu4O5pDKFqVkg9n9yfiyXHMGdYJrcpclHv3jweY+uFW/jxwBr2h5tUklVLBiC7mi4VdLXY4RpNZsIAahUqtlPjyloF8d/tg7h4Tilop2bxXphdC1ZJYry+em1zxv1Eh8u86vIYkGDC3nTEYTfQNcqtVqP49nErwvFUEz1vFwaRcTCYTz/91lOOWG679p2sOW88ZHoyTpZ7vpiEd0aoUbDiewdwlByizzOAHBXvIjR6fXR4lvy5oHkKsBC3CpB6+fHxjf+aOCaWjhzl8kppna0iqVEh8f8cQEhbM4IMb+tq8l5pfxuQPtnLvT2bX9JwSHe4OZreA3BJz2CXIw4HXr+zF9mcm8MD4zjjbqTiVUcQTvx9m3DsRfLcjgdI6UsvL6kjkqElsFMAdI4JZdPNA9iXmkFOsY3qvDlRYJXE0tQHipYrqPBbEOtupOJ5W5Upy77jQGrcrtqTA+7tWTx/fm5BD8LxVPPTrIfk1kwneWnvSJvwb6G5fbV8AV3s1twwz34wdScnnu9sHY69WsjUmkzu/30eJroKvtsbLpRXxWcV8uim2kZ9UUBNCrAQtRmZhOTtis9BYZh4peTW7Z0uSxFX9A0lcOJNdz06gp3/1u9/ErBKWH0wBzI0PrfF21vLU1G7smDeBedO74eWkJSWvlFf/jWbkW5v4eOMp8i0XC5PJxKYT1UOAGlX9F1Uj8N3ORO5asp+vtyfwz6Fkrl20q1WaE14M2KkVRDw1Dhdt8y4rtwztSJ/AqkQad3sVYb5OFJZV8Oq/x+XXL+vjX21fXYWRf4+kAebEnEpi0gsJnreK67/cZbP94lsHceB0Dl9sMa+BXWPxjSypIxR85yhz8sehpDwkSeKHO4fgqFGyMy6b27/dx1trbU15v9gSx4mzBbUcTdBQhFgJWozn/4ri5q/3cDrHHLo5d2ZVE36u9qx6eDSn5k/nuRm2C+FnC8y1T39HpvLDzkT5jhlg6gdbue+nA9w9OpTtz4xn/lW96OjhQE6xjvfXxzBi4UbeWBnN038cYWdcdrXz6mrraFgHW2NzMFwaS7znhTK9kVFvbaagvOkJ/kqFxNgwb1Y8OEqepeWWVvDvAyN5/YqeWE/c7v/5IIlZ5hR2k8nEf8fOMuWDLXLmabCnIyl5pfR4aS1TPthqc55XZvUgceFM8kp0vLnaLC7zpnfjjpHBANWcKqzxcbbjhkFBAHweEcuQEA9+vGsoznYq9iZWhQ/vGBnM1J6+VBhNPPNnVLVMRUHjEAkWghajsqXGM9O6yXeXUa9Mwdmu4em7JpOJrs+vpraI3cgunjwysSvXf7lbfm33sxPp4GpHhcHI6qNnWRQRJ689NAcHtYISvaisOp/08HOulvEJ5pqrSd29eeL3KAAmdffh69sGV2v/olZIXNbXj6ScUg6czgXAy0nD3WM6s/zgGU6ctT32HSODeXFmDxQKiXXHznLfzwcxGE3cPSaU52Z0JzGrmHHvRuCkVXH01am1jjs5p4Rx70ZgMJpY8eBI+gS6EXUmn2u+2CnXDR54YRIVRhOT3ttCYXkFL13WgztHhTTr99WWEQkWgosGB0tjRL3BKNeXPLoskoRaCjjBXJt10+LdBM9bRWpeKTqDEZUlM/CNK6p3YN0Rm20jVADfbDe3dFApFVze159/HhjBsNDqLUfUSon/jQrm2nNMT520SjY/MZbtz4xnjJXPXIneSK8aQpSCluNcoRoS4oFSIbHm6Fle+ida9iTccDyD55Yfqba/3mjir0OpHDidi0ohcdeoEPoEuPLm6uM2QjU+3JsTr0/j5Vk9USgkdsdn8+CvhzAYTVw7MJBnLa1fHCznK9ZVUNd9fJCHA1f0NYchP99sDiH2DnS1KXB/8JdDuNqreXZGdwDe+e8E+xKzOXm2kAOnc9kSk8mve5NYsPo4dy/Zz9QPthL2who58eMPS+dkgRkxsxK0GF9siauxiZ5CgnWP2TYurCS7qJyBb2wAzDY2znYqfth1GncHDcvuGcaUD7bipFUxe3AQX29PqPG8Hg4avpgzkMHB7ugMRh765RDrotNr3Bagb5AbiZnF+LlpefmyngzvYmuEuu1UJg/9cki2fxJcOMaEeZGSW1qrQ0VjCfVy5Pd7h+PppJVfO5qSz+wvd1GkMzA2zJuFV/emwmiiTG8gv1TPtV+Y17U+u6k/IFGmN5BXqievREdBqZ6CsgqKyyvILCznkKUJpL1aQWkLz8J9XbTseW5Six7zfCLqrBqIEKuWo8JgRJKken39ziUpu4SpH26tVoQL5lnN61f0YkiIB6Hn9Py576cDrDl6lv4d3eSuwHeMDOaRiV3lJoqHXprM3oQc7vnxABLUmuQQ6uVIfJbtha7SGDXY04Hk3FJ57aBvoCv3j+/C5BpqtQwGI/f+dID1x2uvzxK0be4eE4okmRN0cop1ZBfrSM8vIy2/rM0nybg7qPnxf0PrdGxpawixaiBCrFqO/46d5d6fDuBip8bdQY2bgwZ3BzXuDhpcLf9Wva7BzUGNm+X1cr2BpNxSluxKlLP5zsXDUcP6x8bId7t3L9nPuuh0m+LcUG9HVJJETEZRsz6Ln6sdM3r78c32BG4a2pH7xnZm0ZY4/jxwhnJLyKaztyP3ju3MqK5eHEnOIyImk+NphURa7poFbZPKotyLgY4eDgS42bMrPhsnrYovbhlAqLcTnk4auZj4Yud8X4Nbph+04JIir0SHyWQ2EM0v1UM9rtfWaJQK3BzUVN4CeTtpySvV2VxUcop13P3jfhZe3YfCsgoiLO4SRhMMDfEgv1RfbWEczHebCkkit0Qni5qPs5ZQb0f2JuTUWCuVll/Gz7tPA3A6q5hf9yTx275k3OzV2GvM3YLjMot56o/q6yGC84ubvYri8gqaGj270EKlUkg4alW42qvwdNLi52pHoLsDG6PTibOazb94WXf+N8pcA7b26Fke+OUgSTkljOziRU6xjpPphSw/lML71/e7oOO/2BEzK0E19AYjeSXmGH1uiZ7cEh35ln9z5dd1lm308mNdLS4SDcVJqyTY0xGTyURmkY7cYp3s4t3dz5lJ3X0ZEuLB/FXRnDhbxLvX9mF0mDczP95OVlE59mol5RUG4SYhaDASoFEpZBHyctISnVpAsc7AfWNDmdjDF19nO7ycqvwrz2VnbBY3fb1Hfh47f7qcJATw16EzPP7bYUwmGBbqwZ6EHEwmWHLnEMaEedd0yIsSEQZsIEKsWheTyUSJzrwQnVusY9WRNBZticPVXs1do0LILdGTlFPChuO1Jz40hbrWrwTtG61KgYNGSZneICc/XDMggGGhHoT5OtPZ2wmnGsoqZn2ynSiLO8X4bj71nsdkMhHy7Gr5eU1+hb/sSeK5v6JsXgt0t2fdY2Nw0FwaAS4RBhRcFEiSOUTiqFXh72rHI0vNdjYFpXr6BbkxsosXCoWE3mCk98v/1Wl9pFFK9AtyI8jDkR2xWZwtKMPFTkWp3lAt9COESlDJnSNCmNGnAyFejng4ajCZ4O4fD9jcIMWkF/FePeE3B8sMqq7CYGsSrEKAdioF+aX6aq1BbhrakRJdBW+sqnLgOJNbyvvrYnjhsh4NOk97R4iVoMXJK9HLNSomYM63ewl0t+eaAYFcOzCQE29MJz6ziHt+3M+pjKo/9GBPB2b28eP2ESF4O5uTL576/TC/HzjDyC5e7I7PrtbuXCB497q+XDMgQG4ZU6Y38N+xdNln0pqGmMpWGtWW6BomVs/8WbXeWVZh5Kfdp3lgfJdq2901OpTicgMfbKjqXP3tjgQu7+dPn0C3Bp2rPSPESlCNGR9t48TZAr6+bRATuvk2en93Rw0bnxjHsAUbSS8wryWdyS3lo42n+GjjKYaHejKjjx/PTu/Ok38cJsfSqTcxuwQfZzs8HTXysSpnTmuOngXMFxLrO14PR7W8/+Bgd4aHeuLmoMHV3pyhmF+q46MNsbIFFEAnDwdc7dUcSakyRRVceBw0ChSS1OiWLJXMGdaROcODCfN1xmA0sSs2i5dWHCUxq7jWdcv3r+9b8xvW47KIVUPGZTKZ2Jdods7QKBXoDEa+2Z7AnSNDalzjenhiF4otZrdgTip65s8oVjw40qaJo6A6QqwE1ejk6UB0WgFxGcVMaHjfOhskSSLY05H0gnJev6InJmDZvmQOnM5lV3w2u+Kr+/UBvLziGKui0nj18h4sP5jCnwfNVfxKhUT3Ds4cTS2wHN/slp1j1ZLex9mOx6eEyxeQRRGxbD6ZKb/v72bHO9f2ZURnTyRLVuHzy6NYc+wsl8bK7cVFia55CTk/7k4ip1iPt7OWlUfSyCqq3qV4Ri9fTpwtkmvvnvnzCKsfGVPrMSsMRv49nArA6yujeX1lNJufHFetEWMlR85U3fB8cmM/3lh9nOScUpbtS+L2kdWtlSRJ4tnp3Sgur+DnPUkAHE8rYPG2eO4fV302JqhCiJWgGh09HAD4ZnsCt48MbvIdX4Cbuc3C5pOZ/HfsLBUNTNPbm5DD9I+227ymUUocTS1AqZB4Zlo4H6w/Va34eFVUGj03x7LheDoHLcXFkgQhnuZC4Vl9/BnZxQuTycTfh1J4bWW0TddXR62S4ibe5QsuDKsfGsmMT3bIz1dFpcmP3RzUVBhMNjPv1UdtE3qyz3HwNxpNnDhbyHc7Evi9Fnujukrjn/j9sPx4co8OZBbpeOHvo3y1NZ6bhnaSOwjbHE8yF8iX6gwsP2SuRXx77Umm9/KrVRQFQqwENdDdz5zJc7agjMs+3s78q3oxKLi61159+FvEKiolTxaqQHd7fJy1eDhq8HbWUmEwseF4er1rUaV6I+4Oaq7qH8Dao+k1umQAvP2fuROxRqngmoGB3D0mlJ93nyZ+ewKSJLExOp3n/z4qO7qDOWXe3V6DQiFRXN7wmjLBhUWjUvD477b1cPZqJaO6eDE6zIsgdwfu/nF/rft7OKr55tZBJGYVsyMui+92JBJbT9H5jnkT5Juucyko08v7+7naoVBIXDswkI82niI1v4x/IlO4zuLOfi4KhcTb1/ahRGdg7TFziHvKB1uIeWO6vPYmsEWkrguqcW4qLsCM3h1448reeFitJ9XHr3uTeHZ5FL4uWtILynluRjfuHtO52nYFpXr6v7aOykQ/hWQu9j1bUD2scy6OGiXFNTRc3P3sBDq4mi8yr/0bzbc7EnC1V5Ff2rBFc0HbYGiIO3sScmt9P9zXmZPphfTwc+LE2aI6a+zUCkmu26uNuaND0KgUfLY5jqv7B/D+Df1q3XbB6uN8aVl7sm5f/+WWOBasOUGotyPrHxtbp22ZrsLI9I+2yl6ItwzryBtX9q5zjG0V4bouuOCYTFQLX6yOOsuA19fzyopjDe7LUzmzqnSiziysLj4bj6cz85NtslBJwPL7R9K1hpblCqmqE23lBaAmoQIotWRyRZ3J469D5vBOpVA51lLcKWg7VF7erYXKWask2NN2lnMy3ex0Ep1Wt1ABNQqVh6OGt6/tw5FXppC4cCbPz+yBn+Ump77U9UqhAhhsFXm4eVgnXOxUxGcW859l1lQbGpWCVQ+Plp//tDuJ6FTRqLEmhFgJqqFQSPQPcgOo1sX3+52JdH5uNWfzy2rY05YAN3Nb8RKLoFgLy5ncEuYu2c//fthPck6pnC5sAu7/+QDbTmWhVSkI9jSvn0lY1iSMJiQJWTB9nLXMHlw91DLhva1c+dl2Zn26Qw4xqpUSL17WnVUPj8KvhpbngrZDpayore4rCssNJGbX39CzPoaHuvPBDX058soUDr44mesHBeFiVRzsaGkTUlLLjRBAWn7VOG4c0tHGCNlJq+L2EcGAuTljfcErO7WSwy9PkZ/P+Hhboz5Pe0GIlaBGhllCGiFejiQsmMHPdw21ed96Ybs2Ku9QKw1j3ezV6CqMfLY5lknvb2F9dDoqhcQ9Y0L57e5h8n6peWUEezrwz4MjWf/4WMB88arM/DOZqgo3X7qsB29e1Zs/7xth8wdvAiKTzZlaldeRQDd7PtsUy7h3t5DWALEVtD4NKItqNGn55VzVP9BGoKxx1FSmrtfe02pHbFU26w013CzdPjIEe7WSoykFbD2VVe+YXO3VvH1NH/n5vD+FV+W5CLES1Mjwzmax2hWXTanOwD+RKcyb3o1/HhjJe9f15eahHes9hqNWhZtD1QUhNqOQ6R9t5Z3/TlKmNzI0xIPVj4zmsclhfLOjqldV30BXVjw0isKyCu78fp/NMQcHu/PT/4YysJM7ADqDkS2nMnlk6SFGv7WpxnFURn8SskvIEUXF7Z7E7BL+s7rZ2puQw7ZTmfJsqXKWfya3hL6vruNwDe7781dFy4/7BlZv4+HhqOEmy9/I55tjGzSu661Eb+m+ZJvZm0CIlaAW+nd0w9tZS7bFIf23/WdYuOYEfYPcuGZgIHbqhq37+LtWrTGsi84gLrMYLycNH9zQl6V3D6OrjxP3/nSAP63aiZToKrjju31c98UutlndlT49NZzf7x3BqK5e8vkTsop5+o/DnMktpaBMJE+0d8Z29eTpqWH4WBxQVFa5DQ7qqif3/XIQvV7P/sQcHl16iDnf7OXTTWZRqSwKzirSUVBWUc3PslRnkEPLvQJcas3eu2t0CGqlxJ6EHPYn5jRo/JEvTZYfD19Q881Xe0WIlYDNJzNs/M0AtColT08NB2B7bM0FvPVRYTBWq626bXgnNj4xjqv6ByJJEv9EphJxMtNsOqo2fx1PZRRz4HSuvMheGcazTrqofO2TTbFkFtrWzgjaL1tOZfP2fzFkWJJ5Kqy+fiV6E7cP7wSYZ9vdXl7HtV/sIjW/jEndfXhhptmjz0lreyN2rtHs7weS5cdvXlV75p6fq9liDODziLgGjd/NQcNDE6qKg7/Y0rD92gNCrNo5u+KyueO7faw9Wj1r6ZoBgfSxCnH0tSRdNIQDp3OY9ekOYtKr+lJN7O7Nq1f0kk0+80p0vL7SHE7RKBWUWDU26uzthAmwUyvk88ZlFPHv4RSu+XwH/x1rWfd2Qftgw/Gz8k2QwWhO3LlhUBBPT+sm2yOdK076c1rfvPTPMflx73o6+d4ztjMKCTadyGhwlt8TU8LlxwvXnGjQPu0BIVbtmOB5q7hx8W4A3l13str7CoXE45PD5OdX9fOv95g5xTqe/uMw1yzaxfG0AuzUVV+xdKu6qZxiHTd/vUd2FCgsr8C6HCUuswilJDG6izdJFl+/hWtP8NCvkRywuFPUhSirbH8429nOiBQSuNjZCs+ZvHIbp34TkF5QipelazWY11qtsRarU1Y3X9cNDKy3gDfEy5EZvf0AWNSIWdK2p8fT3c+FJ6eE1b9xO6FRYrVo0SL69OmDi4sLLi4uDB8+nDVr1sjvL1++nKlTp+Ll5YUkSURGRtZ7zMWLFzN69Gjc3d1xd3dn0qRJ7N27t9EfRNA8DEYTuhpSrw5aCcOqqLRas6OMRhO/7EliwnsR/LbfXNd0/aBAXp5V1f7gaEoBZ3JLeGXFMYa9uYFjljtNdwc1My1/0DZjMplYfzyd7KKGh/l8nc1Fy5dEpbugVqzXnyopLLP9/hpNNGgdMyImi5sW7+KLLXHM+GgbE96NsHnfuqno19uqEoHuqMH7ryYqPf9WHUkl8Zxwe20EeTiw5pHRPDiha4O2bw80SqwCAwNZuHAh+/fvZ//+/UyYMIErrriCY8fM0+Li4mJGjhzJwoULG3zMiIgIbrzxRjZv3syuXbvo2LEjU6ZMISUlpf6dBc2ig4ttrdFhK1POSj7eeEp+vC8xt8aU9aMp+Vy9aCfP/RVFXomebh2c+fO+4bx9bV/CO9jWaY15ezPf70xEZ9WXKrdEz6qotCZ3+FVZFQuni/WrS5rKuVOJvmVvR06cLeLd/04SnVZQzT+wwvJdLdMbWLa/ar2qu1/1wvWa6OHvwvhwb4wm+HKrWINqKo3yBpw1a5bN8/nz57No0SJ2795Nz549mTNnDgCJiYkNPubPP/9s83zx4sX88ccfbNy4kVtvvbUxwxM0kt3PTQTM4UCA1DpSZX2ctWQUlrNg9QkmdvPFXqMkv1TP++tO8uPu0xhN5pTfxyaHcdOQILQq82Xl7bXHbY5TkyAFuttjr1bY9LZqDBUmELbp7QMD5hCvq52SvLKWLcKqzWi5Mgxo7UbxwPjOjfLwe2B8FzafzOSPA2d4ZGIYHURReqNp8pqVwWBg6dKlFBcXM3z48BYbUElJCXq9Hg+Puo1Ty8vLKSgosPkRNI9D56wF5VrdYb48qwcBbvak5JXy5ZY4/jp0honvbeGHXWahmtXXn8v6+PHeupP0ePk/+r++nmkfbmV3vK2vW4Cbnbw2deuwTjw1JRxJoslCVRuvzupu83xaz8b35RK0TUzQ4kJVF5Vi9ZWVvdIV/QIadYxBwR4MCfFAbzDx9bb4+ncQVKPRrutRUVEMHz6csrIynJyc+Ouvv+jRo+XaMs+bN4+AgAAmTZpU53YLFizg1VdfbbHzCmDF4VReubyn/HzJrtPy46k9O2ACHvzlEB9tOiVPZEK9HXn9il6M7OLFM38ckS1q8kv15JdWL8BNyatyjliy+3S19+tDKYG9RllrY7xPb+rPZX3MiSC7Y7OIiM1i8+Nj8HVz5MnfD9vUcwnaB3YqibKKps+8S/UGErKK5TVWJ62Kjh4OGI0mG5ul+rh/XGf2JuTw854kHhjfBfdGmEILmjCzCg8PJzIykt27d3Pfffdx2223ER0dXf+ODeDtt9/m119/Zfny5djZ1T1NfvbZZ8nPz5d/kpOT69xeUDNbYzLl9Z6cc2L1H26sar+dVVTOkeQ8JMwRN6Uk8dTUcNY8Mpr+Hd34dnsCESczbPbv6uOEr4uWlsLFTsX1g4NkY1xrbhveiVPzp8tCBbDotiEcf30GHdydkCSJt67pQ58aUo27eDu02BgFbY/mCBXAtpOZ/LKn6sbK00lD95fWsnBt49LKx4Z509PfhVK9ge92JjZrTO2RRs+sNBoNXbqYs1sGDRrEvn37+Oijj/jyyy+bNZB3332XN998kw0bNtCnT596t9dqtWi1LXchbK909nbEy0lr098JzAW91stAw86ppjeYTHy/PYEvt8RSUEtI5lQ9vYIaS0FZBb/utb0p6eBixwc39JPtoWrDZDIRl1FMfln1BIzYTNHDSlA72SV6FltlAZ7ONn9fvJwaNzOSJIn7x3XhgV8O8sPORO4eEypbOwnqp9m/KZPJRHl5/X2H6uKdd97hjTfe4L///mPQoEHNHZKggXy2OZZ3152sMTfhtZX1z5Yzi1s+806tgMraYI1SsskarImzBWU8+MtBfp07DGc7FRtPZLA6Ko1OHg5kFZdzKr2I1LzSeo8jEDSUGwYF8b/RIYTV0MamPqb16kCol7lz9S97TtfY301QM40Sq+eee47p06cTFBREYWEhS5cuJSIigrVr1wKQk5NDUlISqampAJw8aS407dChAx06dADg1ltvJSAggAULFgDm0N+LL77IL7/8QnBwMGfPmjNunJyccHJyaplPKaiRtUfP1ihUZXoD6+rpw3O+sDKxaLDAZBfrmPLhVpvXdsY1zSJKIKiPZfuTWXhN0xokKhUS947rzNN/HOHrbQncOjy4wT6b7Z1GrVmlp6czZ84cwsPDmThxInv27GHt2rVMnmw2X1yxYgX9+/dn5syZAMyePZv+/fvzxRdfyMdISkoiLa2qVufzzz9Hp9Nx7bXX4ufnJ/+8++67LfH5BA3glmFmd2iFZPYJnPrhVpsuvY11g9AozXsMCXZnVt/qxb7WjOzsydpHR/PmVb0YHOxhcy6FBHYqYbIiaHuc20m7MVzZLwA/VzsyCsv58+CZFhzVpY1oa9+OmfXJdqJS8rllWEd+2p3UrGNJmH38NCqF3JFXqZDq7Srs7aQhr0Rfb7txgaAtkrhwZpP2+25HAq/+G02Qhz2bnxiHSnnx35SJtvaC886xlKoaNaVCYlho3TVulThY+f6ZgFK9URYqoF6hAsgs0gmhEly0fLy+aU0SZw/uiIejhuSc0gY1MhUIsWrXlFm8AA9ZNZfzcFSzO7723jtalQJPRw2+LloMpuop5BeCRpS2CATnlfc3JhOXUVj/hudgr1Fy58hgAD7fHIdR3LDVixCrdsiZ3BLu+XG/nFqutLr419cbqrzCSHaxjvSCcspr8QiVJLMDdkd3e4Lc7eU1rKaiUSro7O0oP1c0wuZGIDjfTHx/K181oe/UnOHBOGlVnEwvZOOJjPp3aOeINat2hMFoYlFELJ9FxFGqa7pdjVoJJpNUzUtNKUkYWvDrJAFvXduHyd18iM0s4v31MeyqY9ZXE95OasuaWIsNSyCokdj50xu09mQ0mkjJKyUus4ivtsazMy4bR40SR62S7c9MRHORJhWd72uwqEhrJxxKyuWFv4/KljHNwRw9rC5KdQmVQgKVUkJXYUKSavadVUi2Rrcm4Ok/mrYmUElmUXXLJ4HgfFCsM+BqXyU05RUGErNKiMssIjajSP43PrOY0nPa8RTrDBTrDJzJLSHUW5Ts1IQQq0uc3GIdb/93gqX7kjGZzJZFd48J5ZvtCRSU6cEE56te1lGrxMtRS1p+GTqDEZ3F9sZkAk9HDfmlOiqMoFHCqK7eGIywLz6Lkmba41Ti5mCeVQkEF4K+r64jxMsRvcFIUVkF+WX6WpsBqBQQ4uVEFx8nzuSWEpWST78gNwLc7S/soC8iRBjwEsVoNPH7gWQWrjlBruWCfc2AQJ6d0c2mK2ple5BLhVAvR5ztVNV6c3X1cSKvVFfvmpxAcCGQJHC1V+Nmr8ZereT4WXOSxozeHeji7YSLvRo3Bw1u9mrcHMw/LvZq3Ow1bTZMKMKAgkYTnVrAC39HyV1+w32def3KXgwJqZ6SbqdSUFaDMezFSvw5nVhVConJPXzJLS5vca9CgeBclBKMCfPGXqNEpVCgqzCQV6onr0QvdyIo0RkwmSCvRF9t5r86qn7nGAeNEjd7Na4OGlztVbjZa3BzUOPqoJYfjwv3xs/10pqlCbG6hCgs0/P++hh+2JmI0QSOGiWPTgrj9pHBqGtZ+A10tyc2s2V7SV0IXOxUuNircbZTUWEw1toPq8JoYs3R+i8ASgUYLh3NbpdImNdFne1U5BTbioBaKdHJw5EKo5H8Ur0cbWhpDCb49vbBdTZmLK8wmIWrRC8LWczZAt5ZZ+5yYHZ9kSzb6ORtCixhxRKdgRKdgdT8slrPMSTEg9/uabk+g20BIVaXACaTiRWHU3lj1XEyC802STN7+/HCZd1rvLvSVRj593AqETGZPDi+CwvXHOdsM8JjKoWEVqWguJEZhg4qsNdqKNMbKNMbGrV2VlBWQUFZLbnzTUAIVdtBwuxonlnUuO+kCdAbTNWECsvrsZnNn1mrlRJalRK1UkLCRE5J9e/gU38cwUGjxF6txE6txN7yWP7X8thOrcRRo8LbSUufQFcOJOWy6UQmhWUVXNU/gKTsEpJyzD/6CqN5jbkefJy1BHk4MGdYp2Z/1raGWLO6yInNKOKlf47Kxq0hXo68enlPxoR517rPw78eYsVhs9lwBxc7Njw6ilmf7SQhu/mtMtRKCX0tqnPz0I5cPyiQKz7bCVS3qtEbjJTozHedY97eLL/+1ZyBlOoNZBXpyCosIym7hMgzeTaNHNVKCaVCokzkqLcLJKCThwOJOTV/Z1+Y0Z2wDs5kFZbx+O81Z5S6O6gZEuxBsc5ATHohGYXN6x5xIbBXK+no4UCQhwMdPRzo6GFPR08HgtwdCHR3wF7Teqa4Ys1KUCMlugo+3RTL4m3x6A0mtCoFD47vwt1jQ9Gq6v7CDg31YFZff+Yu2c/ZgjJ6vbahSWM4N9UcqFGo7hoVwpNTw7FTK8korD10oVYqcLVXUF5hsHrNvOYkSRLxmUV8tjmOtdHpspXTyC6ePDShK8NCPTmYlMstX++RuxW72qnIb8HZl6B16eztSEJWMUaTeRaVlFv7zdUbq4+jVkq8cnlPrujnzz+RqTbv3zAoiNeu7Cn/rRw4ncv9Px8gvaC6YNmrFRx8cTLlFUZK9QZKdQbLvxXc+9NBsop0zOjdgSHB5jXhEr2Bsspt9AZKdUbK9AZKdBWW14zy+yU6g/ye9d+Sr4uWMV29zYLkWSVOno6aOkOMlzJCrC4yTCYT66PTefXfaFLySgGY0M2HV2b1pKNnwzre3jy0E6MWbGz0ubVKBVq1efaiM5hs/rhUSokZvfzYn5hjE0u3Vyu5Z2xnuQ1Cer75YmCdkXgu1ovOPfxciM0o4pNNsaw8kiqfc2yYNw9P7MLATh6cyS3hwV8OsvJIlcfakGAPDiTZFhD7udqRVkecX9B2+f72weSV6nh02WHcHNQUlek5Ny/ohzuH8OmmU+xLzAXMN07P/3XUZhs7tYIyvZHI5Dybm7qBndzZ89ykGrNjS/VGjqYWMDjYAzer12Mzisgq0qFRKnj3ur44aJp+OTWZTOgNJnbHZ3Hrt/vIK9Hz9LRueDuLBrOVCLG6iEjKLuGVf4+xyWLNEuBmz8uzesgzj4YQnZLDjE92Nen85QYj5ZZJj7NWxYgungzo6M7X2+PJLNSx4Xi6PKu5ZWhHDiXncSy1gKf/OMz03n54OGjIKjaLla7CQLnegLaGXj7WYqWrMDLlw61yvcqk7j48OKEr/YLcKCzT89baE3yzPQFdhRGJqlLlvYnVnS6EUF14lFLL1PE99luknLJ9w6Ag7hgZzKxPd8hrtAC3fbsXgNUPj+b5v6JsPC8r0VkULjaziBJdhY3AGI0mVEBNc/Hf9yczONg2mzbipPnvcGioR7OECsxdhDUqidFdvekX5EZkch7f7kjgmWndmnXcSwmxZnURUF5h4Mst8Xy2OZbyCiNqpcTc0aE8OKFLvX8k+aV6IpPzOHg6h0URcXU2NHTWqnC2V5GaV/NFvZOHPVf0D2RMVy/6BbmhUppDdvP+jOKvQynmY9ip+OymAYwJ8+bA6VyuWbSz1vMpJPBw1ODuoMHdUYO7gxoPRw3H0wqJPOdCM6arFw9O6MLgYA8MRhPL9ifz/roYsi3dir2dNPT0dyUiJtNmv0stNV9gpquPE64OavZbZlHWTOjmzfvX96OwrILRVmuf5yIBM/r4MauPH+PCffj7UArzlkfZbPPxjf14+NdI7NVK9r0wyaYN/Zxv9rDtVBYvzOzOXaNDW+yzrY9OZ+6S/ThpVeyYNwFXe3WLHft8cr6vwUKsaqBMbyCzsJy0/DIKy/RkFZVjr1ExPtwbZ7sL+8XZGpPJyyuOkWCpHxrR2ZPXruhFF5/qlixGo4n4rGIOns7lYJL551RGUa1V9PWhUSmY1suXtVFn0RlMSMDXtw1iYndfAI6m5PPEb4c5mV7lOi0BP88dyojOXoD5jnRnXDY5xTpyS8w/6QXl8h1uY1FaLNcr16zsVRLeznakF5ZTLkSpzdNSM636cLZTcllvfxQKiZ/31N+rzXpWbv1a/IIZTHx/C/GZxbx7XV+uHRgImNeM+726Hp3ByIbHx9b499hUjEYT0z/axsn0Qp6cEsaDE7q22LHPJ0KsGkhzf1H7EnO4efEeTJhqzWZTKyUGdHRnWq8OzB7c8bxm3qTll/LGyuNyrxtvZy0vXtaDWX385JBfYZmew8n5sjAdSsojv7Tp9SOOGiW9Alw5lJSHzmBkzrCOvH5lb87mlzH+3QhK9QYkCa4fGIjeYOKfyBQMJnOa8fwre7EuOoM/D57B01HDyodH1VqUWF5hYNqHW0nIKmF67w4M7uTBb/uTOXG2equFMF8nsgrLyRG2SYJzUErgaKeioPT8JNE8MTGU+yaE83lEHO+vj2FkF09+vmsYABuPp/O/H/YT6G7PtqfHt3jSw9+HUnh0WSQejhp2PDOhVbP8GorIBrxAmEygsyq20agU+Lva4WynxstJw+nsEuKzitmTkMOehBxWHUnjj/tGtPg49AYj3+9I5IMNMZToDCgkuG1EMI9NDiOrsJw/D6aYxel0LjHphdWy8ezUCvzd7IlvQKGvJEHvAFdGd/ViTFdv+nd0R6NScMvXu9kem01YB/MXroOrHSsfGsnE981rR8v2V7Xi9nbWcufIYHr4uzI23IfjaQVEpxVw/88HWXb38BqtYbQqJW9e1ZsbF+9hTdRZ1liq9iWgq68TFQaT7EQRn1lczd1d0H6xngEZTDRKqMJ8HBkc6sHPu5MbtP17G+P5fvcZRnc1Rwl2xGaTkldKgJs9ESfN4eZx4d7nJTvvsj5+vLf+JMk5pSzdl8QdI0Na/BwXG0KsLPQNcmXXsxMAcFCrcLFX2XwJTSYT3V5cK4eaPBw1LT6G4vIKpnywVc7yA7hpSEeSsksY904EOcXViyQD3e0Z0NGdAR3d6NbBmceXRdYpVB1c7BgT5sXort6M7OJV4+dIyDKnBIf7OsuvhXg5Ee7rxMl0c2Fl5UUjs7Cct9ae5K21JwnzdaJ/kDvxmUUcSsrjid8jeW5GdzwdtWQVlZNZWE5KXgkrD6ex5lh1VwkTEJNuW7gphKr1ePfaPjzZTNf7umhKSLAxm3s7aSjRGyi2ZAXFZBQTY3E6USqkqvKHzp7o9Xr2JlV1JHCxU6FUSGQX6/jbKu39oV8O8vzM7nJyxbgwn8Z9gAaiUiq4Z0xnXvj7KIu3xnPz0E5t1hPwQiHEyoJWpazTS0uSJFmolAqJL+cMbPExpBeU2QgVwE9W8XaNSkGfAFcGdHKXBcrHxQ6Ad/87yezFe2o99ouX9WBMVy+6+DjVeSdYVF4hjyHM1xyHT84p4cnfD8tCNTbMmwVX9ya3RMeWmEwiTmRyICmXmPQiG7H593Aa/x5ueMtue7WyWusEACetiqLaOj0KzhufRcSe1+O35NqVBjj3Vq7SAcPXRUsnDwf2WpIxJKrWPAF2WArqrRkX7s171/djR2wWK4+ksfJIKmV6IweT8rhmkTmbViGZnf1NJtN5mV1dOzCQjzaeIjW/jL8jU7h+UFCLn+NiQohVA0nLrxKRj2b3Oy9fzn01pFsDjOriyZNTu9HDz6XGuyuj0cinm2u/sMy/ohc3D2+Y/copS7KEt7MWV3s1v+5N4o2V0RTrDDholLwwswc3DglCkiT83ezp6e/K/eO6kGcRrv2JuaTklXI4OU/O1DuXmhazgRqFysVOibNddbFSKSDQ3YHEJrhuqBWIZowNoHKGXdv/V1uiLmOmEC9HvrltMJHJeby+MlpeG9UoJRw0KnQW5xRrVhxO43haIYNDPBjVxYs5wzpxxWc7gCqXFqMJrv2iqgzk1ct7ctuI4Bb7THZqJXNHh/Dm6hN8ERHHNQMC5QSj9ohIsGgg1sWC8W9OR6FouSm53mDkjZXR/LDrtM3rTlolRZYQhq+zlsIyPSWNvMqqFXDqzZn1b2hh2b4knvkzisHB7jhqVXJsfkiwB+9e17dBhccGo4nFW+NZuPZEtff8XTSkFtheWhoaDtKqFEzp6cvV/QPp1sGZ5/8+KtecCZpPXVZZ5wuVonrH6ZYi0M2enBIdJToDfYPc+P72wbjYq1m2L5kvtsSRVItVU21UinaQuz3JuaWE+zoRm1lsM0sL93Xmsj5+XNbXnxAvx2Z/hqLyCkYu3ER+qZ7Pbx7AjN5+zT7m+eJ8X4PbdxC0gXywPkZ+3DfQtUWFKqdYx5xv9lQTKkAWKoD0wvIGC5VSMsfcAQI9HCluRAjtpOWu8/CZfCJOZqJRKXhhZneW3j2sQUJVYTCb5L6/IabG988Vqu4dnOsVKju1gnnTunH8tWnMv6o3kcl5TP5ga51C1X7vP5tOXUJV+X1qaSqMJtzsm3fs4aEe1BTo6BHgwhNTwnG1V3E4OY/rvtxFRmEZNw3tSMST4/jjvuEEWZodnrv77mcn8tWcgdw1KoS+ga4oFZI8u0zONUdZ0gvLGRfmjb+bnbzfyfRC3lsfw/h3I7j80+18sz2hToux+nDSquTZ2mebY7lE5hZNQsys6mF3fBazv6paCzr1xjTU9XjvNZRjqflcu2gnpS0Qk1IARswZfgeen4RSoWDcu5vJLdFzw6Ag3rq2T73HyC4qZ+qHW8myxPr7BLry/vV96eLjXM+e5tnhX4dS+HxzrE1oTqtSNKr+yddFS06xzubC+eZVvbiiXwDf70zkq63xcnq+g1pRo4BfDGErayr/7y4kvs4a0hvptF+TF2RT6OLtWGNbGrVSwl6tbLSbvpNWya93DeXjTbGsP179BsbNXo2uwkiJ3oC/qx0/3TWUUG8nnv8rip/3JOHpqOHnu4Yy7aNt8j5x86ejtGqrU1xewZ3f72NPQs2hemuctUpK9EZ5xqWQYGQXLy7v68+0Xh0aXauZW6xjxMJNlOoN/HDnEMbWYVLdmog6qwZyPn5RZToD3V5aKz9f8eBI+gS6tcixVx5J5cFfDlV73VGjZGQXL24cEkS/IFfcHLRIkmQThjzXrRzMNVe9X1kHwGuX9+TWEcHsjs9m9le7AVh+/wgGdHSvdTzro9N5dvkRWahmDw7i9St71doHq5LyCgN/Hkjh84hYzljuON0d1Nw1OpQ5wzqiVip5e+0JvtuZWPcvBHC3V5FrSUUO8XQgwN2O7bE5jOnqRWRyXou2BBGAVilR3oJhv9pE99ybhyHBHtw/rjP3/HSg2o3MmDAvknNK5PWyc/F3tau1j9M9Y0L4cmtCveO0Vyu4e0xnPtp4CoBfLEXs1n9jAzu5oquA1LxS8kv1jQ5V7n9hEquOpPF3ZAqHLE1QwXzzNqm7L1f082dsuHe9ptOVvL4ymm+2J7TpPlWizqoVGfNOlVXLy5f1aLZQZRWV8f2ORJbsOl3twtsnwJVlc4diX8td13vX9eXzzbF8eeugGt/fE1+V0eTnZg5tDAv15OoBASw/mMLSvUk1ilVBmZ7X/o3mjwNnbF5/fmb3OoWqTG/gt/3JLIqIkz33vJw0zB0dwrBQL/Ym5HD/z4fYm5jTYLeKXKuamYTsErllydZTWQ3aX9A4WlKooEqozhWnc8+yNzGHztFO7Jw3gasX7eS01Ux8a4z5/7q2WVxqfhlzR4fw9faEas4sdQmVUjK3kNEZjJTqjbJQDejoRrCnI8k5JXg7qcgsMn8HD5zOb8Anrp3sIh23jQjmthHBnM4uZkVkKn9HphCXWcyqqDRWRaXhaq9mRu8OXNEvgCHBHijqSJ6YOzqUJbsS2ZuQw/7EHAYFV+/6fakjZla1EHEyg9u/2weY//gSapjNNIQDp3PkVNeaUCslIp4YR4BHwxzTa2PS+1uIzSjC01HDgRcny69vOpHOnd/vR6WQ2PbMeJv0/B2xWTz1+2FS88uQJLi8r7mVgr+rHTufnVjjeUp1Bn7Zm8SXW+Lk/j9eThrGhflgshzzbIHtna91TYug8VxsYU1rnDQKinQ136zcMyaU+8Z15ubFeziWVlXjVF+40Umr5IkpZmeJzHp6UE3t6ct/x9Ll5y2VRKJVSXT3c+HuMaHM6O0PmGsx5y45wIbj6fQLcuPP+0bYZO+ZTCaOpRbw96EUVhxOtemf5edqx+V9/bm8nz89/FxqzDae9+cRlu5LZkI3H769fXCzP0NLI2ZWrYR1Ez8TNKqWorzCwK97k3hlRXSd203t7sOXtzX8S1eqM1Csq6ixvUaKJQTn5WRb5NvXMhusMJoY9dZmdjwzARd7FQvXnGCJJamjk6cD71/flxNnC/knMpWwDtXXqIrLK/hp92kWb4uXQ4XOWhVuDmpS8kr542DVzEyrUuBqr5b/GBsqVF5OGvnY1gR72HP7qBDGdvVBbzBy9ec7KGpkV+KauFhEoC2M0U6lIMjDgVMZjeu2W6QzopQkDDXcE3+5NZ4yvYGl9wxjzNub5Vbz9X1disoNvLHqOA9N6MK+xBx2xFavk6okNqOIADc7uVFnY4TqhzsHE+brjK+zHQqFxFdb43hztTnDdfszE6u175Akidev7Mme+Gwik/NYHZXGrL7+Nu/3CnClV4Arz87ozp74bP6OTGHN0bOk5Zfx5dZ4vtwaTxcfJ7Nw9fUn2Cqj8J6xnfltfzKbTmRwLDWfnv6uDf4slwJiZlUHd36/T844C/VyZNOT4+rc/mhKHp9ujmPt0eruDNb0C3Lj57uG4qht3L1C5XiuHxSIr4sdHo4aHLUq3OzV3P3jAQDUCokJ3X3IKtKRXVROekG5Tf2So0aJq71ajvvfOrwT86Z3w0Gj4uV/jvLDrtPcPSaU52Z0B8xhwiU7E1m8LZ58S5iupjvfYE8HtCqljaltfagVMKqrN5tP2jqlq5US7g4aWezGdPViyf+GYjKZuOyT7RxLLajpcHVivR5W+Rm+vGUgcy2/N0F1zi0p6OTpwOTuvny9vf51ocbgoFbg5WJHUg01c/XNhEI87VEqFDUmbDSGMV29SM0vI9ZKjJ20Kmb19ZPDdLd9t5dtlpD0Pw+MpG+QW43H+mB9DB9tPEWIlyMbHh9ba22UwWhi26lMQrwcOZ5WwD+RqWw8kWETNu8b5Mblff2Z1ccPHxc7uW/bZX38+PSmAc36zC2NSLBoIOfjF2UymQh9drV8Z/v6FT3p7udCWAdnXCxrS7nFOr7ZnlBnUa41H83uxxX9Apo0npoawzUVV3sVn8wewJjwqsyiG7/aza74bN65tg/jwnxYsOY4K4+k1thWxEmrooefCyZMcrO7mujk4cDdY0J46Z9j1VLUz12Q16gU3DqsE09MCWdLTCb3/mQWkhAvBzY9MY67fzzA+uh0WgIJcyJIcwxyNUqpzpYrTeF81h21BNa1f7Vxbth3ak9f+gW58/baE606S6z8vtX2O75nTChfbo2vcd8OLloyC3XyDPGLWwYyrVeHGrctLq9g5FubyCvR89lNA5jZp3pt1MmzhTz9x2EOn8lnaIgHyyxJEwVletYdS+efyBR2xGbJN4WSBMNDPQnzdeb7nYkoJNj4xLgWqeVqKYRYNZDz9Ys6lV7I5A+2Nnq/cWHedPJy4Iedp3HQKFErJTY/Ob5ZnoJlegMrDqeSmFVMYVkFOSU6issryC3Rk1FQSkFZBRPDfRjQyR1fFzskCeKzitmbkMP2U1nV/kA7eTpw58gQrhsUiINGRb9X15FXqsfDUVPNh1ACuvk54+9qT1F5RZ0pvGqlxEMTujB3dGeOny3gpX+OcjSl/tlQ5EuTcXMw/34MRhNdn18t/7E2Za0hxNNBTtKwpi13DK6pQLpfkCuRyU1f8Pd0VJNd3HKu9U0R1PWPjeFwct559RoM8XKguLyCjDpS8iXghsGB/Lb/TL3hxt7+TnT3d2NN1FkKz6lVnNTDl1dm9SDQvea15vfWneSTTbFM7ObDN1brS2V6A59uiuWLLXE2v8OaMnwzC8tZHZXGP5EpHLTKKKxk9uAgFl5Tf0nKhUKIVQM5n7+oQW+sr3Et5Vx6+rtw79jOTOrui71GSX6pnhELNlKsM6BSSIzu6sU3tw2uM+unJakwGPk8Io6PN56iwmjCy0nDA+O6kFOi48fdp+WOvBqlAo1KqnbHrFRIhHg5EurlyJncEqLT6g7xmS8EQTw+JQyVQsHba0+wdF/dDte3D+/IT3uSqTCa2PXsBDkBJL9Uz+i3NjU5XV2rUqA3GKtdkPpYXOY/i4hr0nHPB7XVi1UypJM7e0/XPnuti1cv70l3P2eu/3J3U4fXIoT5OjGrjz/f7kiQ16YaioNGWc0OqblU+lDWNzv++tZBjOrqxT0/HmDLOY09AQYHu3NFvwBm9vbD3epG9HhaAdM/2oa9Wsnhl6egUSnYHZ/Nc8uj5I4C1kS9MqXO+qvknBJWHE5lRWSqHGp3d1Bz6KUpjfnY5xUhVg3kfP6izuSWMO3DrdUu5hIwqqsX94/rzLBQzxoTMPYn5vD0H0dwtlfzyez+DXKBaAliMwp54v/tnXd4U2X7xz/Z6d57D9pSVoGy914yREUUwQ2+TtBXAReOn4JbfJ3gwA1ORBRkyN6r7N2Wlg66907O748kp0mb7gIFzue6uLTJycnzpOnzfcZ9f++fDNsMAGM6evPqpI5kFpaz5Uwmm05lsC8xp87Zpa1KgUYlb/TA0j/cnefGtSfCy4Hl+5J4Y82pRglNTIATl/LLSCso5/eH+9I10IUf9yYx/7ej2CjllLZyQUV7taLRwRlNXUE0N2n2jh4B/FiPqKvlUEdAXYOYBxe0ZWqunBWA+W8pwFlLch39cNQqW5SD1zfUjZ3xdQdpLJ4awzvrzpCUU8JNnX1YfSQNd3s12cUVYvi8SiFjUIQHE2P86BvmxoWcEiZ/bKiS/eEdXdl+LkucuHk4aHhlQgf0Ajzyw0HUCjmbnh6Mn3PdRtrmnEovYO2xdEI9DIEYbQVJrBrJ5f6gCsoq+WjTOQ4n59E1wJmHBoXhZNu4LT2dXiA1rxR/F5vLYoBrjl4v8OWOBN785zQVVXrkMhga5YWTjYptZzMtwmXBMJi52mk4mtK4baZeIa5MiQ3gtb9OWJz3JCwcy5GL+cz99YjVIor14aBRUlheJZ4DtObZXFultdwgWpMxHb1Z00BwUEux1yiwUSuthpybzrqUchnfP9CTp385QlJOqZW71GZgO/cW5eMNb+/JrvPZFFuZyHx1Tyz3LtuPSiHj/yZ1ZO6vR+kZ4sriqTH8eTiVlYdSOZFW9za3nVoh3veOnoHMGxNlUaq+okp/XZT/kELX2wiOWhXzx7Rv1msVchkBLcyjagzJOSU89fNh9pqdJ+kF2HCyOihBq5LTJ9SNQREeDIzwEA9oQ+b/Xed9HbRK7uwZyB09Awl2t+NQUm6twIT7l+3j39O1t0nAEKE4rXcQd/YIYKSZpY0J03nAqfSCOg+tm0rNmfqVNGl11CgoaCAI4UoIlQzDuWRmYbnVQdgcG5WiVih2azGyvSfrjDZIReW6OgM0TEEZVXqBR3+MY+n07tz/9b5GnbdtP5fF6zd35KNN55q1ktxgxaYJYGiUp+im0SPYlTAPQ9mcxKxidp7LJtrHiZkDw1i+N4l5vx21eo/iCh2+zlreva0LvcPcaz1/PQjVlUBaWV0n/HLgIi/+cczq3n6klwODIj0Y2M6D2GAXtKraFi+n0wsZ9X51IIkMkJtFdXk5arinbwh39gpk6db4RkU/KmRwe89AHh0STlJOiWj9VBMXWxW5JZUMCHfD18WWFQ2cczVEtI8jJRVVzSofYkKrklNWqW9WLtauuYPp88bmJr1GJqOWI0NLeWRwGE+PjqKiSk/U82uuiP+gtaCWfuFu+Dnb8JOxwrStSkGJlXIwJkyrTj9nGybF+Db6fNFGpWDNE/35fHsC3+2urgPX2c+RKr2eE2lNyxFrLLFBLqTlV9eiu7NnAD/tv1hrCznE3Y4JXXyZ1NWvTUXxtRbSNmAjuZHFqrCsks4vrxMHO0etkgHtPBgU4cGACPd6i0qa0+O1DWQWlnNHzwCeHBGJWiHn+70XWLYjUdw+bMwKRSGXMbmrH48PayeuKAe9tUm01fFw0DToPNBchkR68Ny49gx/t+kRnOY0JkTbxIw+Qfy4N0n8XB4aFMqnWyxDoFt6rtIc/jsyAicbFcdTCxoMdKmJSiEj3MOOk+lNH+BrnvXZqhVsnzuEQW9tptD4GYS421r1/6vP+Lgx3z2tSs5NnXz45WBKk9vdGpi3PybAicnd/NmXmMv6E+kWRgNd/J2YGOPH+C6+l21Fe6WRxKqR3MhiJQgCX+1IJL+0koERHnTxd0LZgAGtNTIKy8goKKejn2VmfEWVnj/iUnjm1yP1zv5lMpjYxZcnhkfUmjne+9VeMfk3cdG4y3IuFRvkjJONmn9PZVyxfB5vRy1PjozgmWaEZLc0JL01kctMTi2Wj+kFmBTjy5+HU1tU2ff5ce1RyGW8/Ge1q0td4qNVyimrIVgquYxK43nW1cpD6+DjgJOtmr0JOVTpBR4fFk6UtyO5JRX8dSSN3fHZ6AVDDuLc0ZFM6xUkRv4WlVex7ng6K+NS2XEuq5Yj+6QYP0Z19Ma+iUYBbQlJrBrJjSxWl5MqnZ41x9L5dMs5jqfWHTjRPciF12/uSKS35Wd/4EIOi9acZF9invhYlLdDk4MwGqKppUiaimlgrbkt+NGdXXnrn9Mt2nK8XIS425FVWF4rR8gaX93Tne7Bbqw/ns6CVcdrrSo1SjlVOn2jBGvO8Ai+3pVAjtlZkwx4elQkX25PIKuOCtJtmdEdvPh0usFEuv0Laymt1LHtmSGk5JVahKOPiPbilYkd6t3NyCwsZ/WRVFbGpXI4OU98XKsyOLJPivFjYITHNXeWJYlVI5HEqnUpKKtk+d4kvtl1QSz9YQ3zwTvYzZb7+4ew+3w2f13mqDJrqBUyVAoZxc2N866BDEMZjTLjCF1TEIdFedI90Jk3151p1tlWzQRghVyGj72SiwXNT+A1rUpC3G1xsVVzMClPPH+riXmO0aLJHZnaMwiAoxfzGf/h9ma3wcVGRntfV/bEZ7doNVYTpRxMH387TzvOZjTOYqmdhx1p+WUt8pPUKGScfm0sAGHP/o1OLzAxxmD8DNXh6KM7ejcp4jcxq5g/4lL5Iy7FIv/K2VbFuE4+TOrqR/dAlyuWm9kSJLFqJJJYtR6HknK5Y+luqwOciQHhrvx3VHu8HDX879+zfL+nZUERbQ0nrZKv7+vJJGOuTE0Uchnr5wxk8sc7ySutJMTdloyCMlEozQfWutDKQZDLKK9qvT9BU40qU7i0o1aJXjBsQ5lzZ69AnhoWTvfX/wWgi78jKx/pT0FZFVlF5dy/bF+t1aKtWoFOL7TaCtaUmFv383JsVIoWWWK1JomLxqHT6Ql7bo3F43f2CmTuaMtw9KYiCAJHU/JZeSiVP4+kWpzp+jnbMDHGl4kxfkRaMZluK0hi1UgksWo9vtyewCur63eMbyzhnnbMGd6O1UfS2Xk+W6zy25ZRymHPs8P57eBFXjO6bJsiFk30D3dnRLQXC1YdBxqOcGsMTVmdmVtGeTlouGQc3MzvYa9Rcm+/YP73r2Xk5j39gnDUqsksLOfHvdVRc2qlvNG1x1pCQyJ1pYnxcyLQ3ZZVh9MsHr+jhz8/7quuJnBrNz8yCsvFfK4QdzveuKUzPUNat7aUTi+w83wWKw+l8s/xdIuJRpS3A5O6+jGhiy++jUwivlJIYtVIJLFqHU6mGbz86jOnbQ5DIj1ws1OLUVptsTyHqU1hHnasnzOI3gs3klFYbjUycEwnL9YevdTiPrTEncJEXYO/l4OGzKLyJud0OWiUuNqrxejNboHOdPB1Ys2xNAvbsZYY+V6u6EhrK9q62unrrCXVmJOlVsip0Fm+sOYEpSaHXxyJk23zV1ONoaxSx4aTl1h5KJUtZzLEgBSZzFBxeVJXP8Z29Lns7WgMklg1EkmsWkZBWSXvrT/DN7suoNMLTZr9OmiVfDA1hm5BrnR5ed1lbunlwbyWlp+zDeM6ebNkm6EURksj0J4fF8WoaG8GvrW5TQi0g1aBu70Ge42So2YGw9ueGYy7vQYbtSEiresr68gtqaRfuBvfP9Cb4vIqXvnzBCv2G7Z8fZ21ZBaWX5FkazkQ6WPHybSWlQJpTWxUCuw0Cjb9d3C9vn6tRV5JBX8dTeOPuFSLxH+1Qs7gSA8mdfVjaJSn1TzKK4EkVo1EEqvmIQgCK+NSeO2vU2QVGbaSxnby5vlx0fg4ackoLMfVTs3Gkxl8v+cCN3f148mfDouvP//6WIt6PXklFcS8sr5R761VQFkb2Q1yslGK9bqag6n8xJLp3UnIKmLhmtMWz9/W3Y/fDqa0asABWFr51CTG35m4i3lNvufu+cPwdtIy4I1/Sc4tRaWQceCFEThqVSRllzDwrU3itVcylPypkRGs2Jdcb8DP1cKaa/rlJCWvlFXGwAzzyFoHjZLRHb2Z1NWP3qFuddbSuhxIYtVIJLFqOqfTC3nhj2PiLC3U3Y6XJnRgYIRHva+LS85j0kc7AJg1KLSWDdX8347w497rK+CiLtQKOd2CnNkdn4ObnZphxsKXpqKdrYlCDuY7Vd6OWm7u6scnWywdHpxsVOSXVtbrP6iQy5DL6q6cOzjSgz3xOeLquneoK9E+ThxKyuVQch62agWVOn2rr6pig1zYX4fDvFwGc0dHsXDNqSbdU62UUWEMYnGzVRLkbk9ccl6rWV5F+zqy+tH+Vy1i71R6ASsPpbIqLkUsqgrg6aBhfBdfJsX40dHP8bL7kkpi1UgksWo8hWWVLN5wlq92JqLTC2hVch4b2o4HBoSgUTZuC8E8qbfmrFIQBJJySvh403lxy2hYe08eGhjG7vhs3ll/pvU6c5moWRjyavP4sHA+2GgZKPHUiAh+PnCRpBzLqL0u/k6i2/7VTKJtbt2wmmdFNftgum9z/B5lMtj69BBKKnTMXhHHyXoMaGuSuGgcF7KKGfT2ZuQy6BrgzAFjnaleIa68fVuXK+IBWhd6vcC+xBxWxqXy99E0i2CmUA87JsX4cWevQNztL49jxuUeg6+trDOJFiEIAn/EpTDsnS18vj0BnV5gdAdvNjw5iEeGhDdaqMBQ/bUuSip0vLr6pChUc4ZH8PmMWHqEuDJrYGiL+9EUmjuXbIxQaRQyXIwH21qlnMZMrF1sm+5QoJDBZzXsm5QyKKmoqiVUYIgYM2FNqA48P5ztc4ewfs5Avr6vujBg/3A3hrf35IM7uvLmrZ2xUxu+D6ZB4uaufuK20os3RfPxtPrLqqfllzX4mQS71Y5oqxnUMCXWH4XZfUwCWGkM0W8KggDj/7edIFcbVj7St0mv1esF0VnD2VbNL//py+s3d8JWrWBPQg5jFm/jp/3JXK35v1wuo1eoGwsnd2Lvc8NYMr074zr5oFHKic8s5t31Zyi6wpZfrUmTxOqTTz6hc+fOODo64ujoSJ8+fVizpjrn4LfffmPUqFG4u7sjk8mIi4tr1H1//fVXoqOj0Wg0REdH8/vvvzepExINc/ZSIXcu3cMTy+PIKCwn2M2WZff24NPp3eusdlofT4+KFP//XIbBP+673Rd4c+0pRr23lQ0nL6FWyFl8ewxPDG8nbkEommED1RJaa9jwdNDgZlZc76mRERx+aZRoa/XAgFBxW2n+mCi2PD0YjRUHgtySpg8WOgHKq/TEBrmIj4V62vNJDQEDw7ZklZmVjwnzlrjZa/B3saWdlwNdA6vv+fndPfj87h5M6OLLlNgA8Xc2OMrT2PYKdHoBHyct9/YL5uHvDzbY9oYWdYnZpdhrLAVHJsPCduiHvckWZ31yDBF+YHA0b+qEJK+0kiHvbEEQBLbPHWLxXJiHHTP6BFl9Xeizf4tmzznFFfR4bSMlFVWseWIAsUEuFJVX8cwvR5j57QHx/PdqoVEqGNnBm4+mdWP/88N5+7Yu3NM3mOBr2EC3SSOHv78/ixYtYv/+/ezfv5+hQ4cyceJEjh835JoUFxfTr18/Fi1a1Oh77tq1i9tvv53p06dz+PBhpk+fzpQpU9izZ0/TeiJhleLyKhb+fZIxi7exKz4bjVLOUyMiWDt7IIMjPZt1zyqdnqVbE8Sf7/nS8Lv6fFs8H28+z0Wj+3SFTs/Tvxxh0FubuGPJbh7+/gAD3vi35Z26jDhpFYR71BbvjMJyso02QSqFjCnd/flpfzKZheX4Odvw+LBwQo0DQZVeIMjNjh8e6Nlq7XK1UzO9d/UgeuaSdYNZVzsVvxrTA8yFoi7NsDGLHCuvkQRuyrm6uauhwN+Oc4b8osGRngx6a7N43Qvjqs8sQ9xsUZqppDXBrknNtADBShKzufWQHkPfTKuq5kxI0vLL6LBgHUPf3gIYfqePD2vH308MEFerjw0Jq/ceWUXl/N9fJ3HUqlgxqw9zR0ehUshYf+ISo97byj/Hr7yLizUctCpu7e7PSxM6XO2mtIgmidX48eMZO3YsERERRERE8Nprr2Fvb8/u3YbSD9OnT+fFF19k+PDhjb7n+++/z4gRI5g/fz5RUVHMnz+fYcOG8f777zepIxKWCILA6iOpDHtnC59tjadKLzAi2osNTw7isWHtWhTempxbKm7xAVzMK2PtsXSxRIJcVr39VqHTcyG7hF3x2fx9NN3iAPhqUN/2JUB+mY5zmfX7/FXqBHot/JeXVxkSpx8YEIxaqeC22AAA/ohLISm7hO7BbiwYH02Ye8vPMe7uE8TmGmXVlVb22NILrM/ozQf08xnVQqcyW+ma5xnp9YL4c59QN4JcbcTzofUn0sUB3ctRQ5invfi6/46OZP2cgeLKqCVuFyqzvb+4F0fwxi2dxMeq9IJFFKRzM/KMdMY+ymUwoYsvU3sEIAiw67yhavCpS9VRdvf2DcLP2QZbK9uOlTo9CrmM/wwOY9Wj/YnydiC7uIJZ3x7gqZ8OU1DW9hPhrwWavSej0+lYvnw5xcXF9OnTp9kN2LVrFyNHjrR4bNSoUezcad3mRqJhzmUUcdcXe3j0h0OkF5QR6GrLl/fEsnRGbKMPgI9czCN43l/sT8yp9ZyHvbrWWcFD3x0QBzO90PYSfsGwdbTzXN3VZANdbZpUrkFnPJt4+c+TBM/7i+/3XMDbUYNSLsfLyXCfe/uFsPG/Q+q7TaP4dMv5WjP1xgROmM7UegS7iNuCG82KcQLi9maCmTeduXBp1UpGdvARfzZPDN7y9GBeMrp4AChkckI87Nn89GBczbZNrQlrQ+j0Ag/0D+Hnh/pgq1Zye49APp7WXXze20kjikdeCyyZ9AL8ejCFgW9u4r5l+yiv0uPjpOWUWfDFggkd2TFvKF/eYzjj83So7pt5wEJ7H0f+eLQf/xkchlwGvx68yJj3t7HzfPOrGEsYaPJp79GjR+nTpw9lZWXY29vz+++/Ex0d3ewGpKen4+VlOdv18vIiPb3+JXR5eTnl5dWzyIKCxkf1XK+UVFTxwcZzfLE9nkqdgFop5+HBYTw0KKzBlVSVTk9OcQUZheWiNxzArZ/uYnwXXzILy8gsLCcpp6RF4cpKucFs1latQBAgv6SSK5VqVaETqNDV/W6NLaFeF6b8n+IKHZ9vS8BBq8ReY/j38oRoFqw6QYy/E5cKy3HQKuvcyrNGaY0tuvrC0s0J97Bn34VcBkd6kpBVTFZRRa3cq0GRHvx2MIXfD10UrYPMV0RqhRx7be2h4tSro/liewKJ2SWiye/FXMOKy91ewx+P9GPU+1spqdA1KyJRL8CXOxLo4OdIj2BDu0ZEezGukw9/HU0jPb+ct27tzNPG8iztfRw4lVbY6ImSqc0KmYzOAU4cSspjp3FVJQgC2cWGrUhznS0zhvKbVy+uGbKuUSqYOzqKYVGePPnTYZJySrhz6R7u6xfCM6Mjr1rS7rVOk8UqMjKSuLg48vLy+PXXX7n77rvZsmVLiwSrZvy/IAgN5gQsXLiQl19+udnveT0hCAJrj6Xz6uoT4jbb0ChPXrwpGkcbFReyS8gqKiez0PivqJws439Nj+WUVNRZq+rPw6mNaoetWkG3AGdu7uZLoJs9HvYaPBw02Fmp0bP+xCU+3xbPvoTaK7emYBq0W2LfpFLIuKtnIBtOZZBcI+FUJjMIbFMEurCsirf+OW31uThjSHlaC8tYNXbszyo2TOj8XWzwcbIhq6iCpBoGtbd29+e3gyn8fTSdlyd0RK2UU15lGJRlMsPns/2s5RbkznlDySoq53//ngUMNZn+PZVhkbAb4GrLnBERvPbXyeZ2E70Ac1YcJqOgjFmDwgF4+7YubD6TQXG5jrfXnWZiFx/+OJyGh4OWZff0pM/CjY1LO5AJyGSGFXJiVjE/zerFvV/tp7hCZ7GdqlUacspUCrn4PfB10nKpoJz5Y6PqvH1ssCtrnhjAa3+f5Ic9SXy5I4GtZzN5b0oMnfyd6nydhHWaLFZqtZrwcMOXJjY2ln379rF48WI+++yzZjXA29u71ioqIyOj1mqrJvPnz+fJJ58Ufy4oKCAgIKBZbbiWyS2uYOrSXZw2VnTVquR4Omg4kVrA8He3NHlGa6NSYKNWkNNAzSHTrNROreDDO7sxJKppwRrD23tyMq2APWZipVJAB19nbFQKbNUGuyfTTDfK2wGFXMbxVMsVtKl7NXs5sYsvno4alm6rDgSJ9LLntJXVzPu3d8XJRsVXuy5YPG6vUfLCTe2Z++tR5DJDGYhLBeWip9wdPQMY1cGbovIqCsuqyCwo53haAfYaJQo54uOFZVUUlVdRZPpvI+pLtRYXjavFXeezKTSenWQVlbP9bBb2xpVfsJudWL1565lMhkd7icEVaoWc4vIqC69IW7UCVzs1s5fHUVapp1eIK8OiPPn3VAbnMy0/3y7+zq3Sj4VrTnM8tZAP7uiKjVrBols689gPh7hUUI6zrRqlXMbWM5kkZBdzd29/vtp9scF7llcKhqKOgkBuSSVzfzlGcYUOhVzGiCgP1p4wJHaXVOrot2gj03oF4eesBQwBL9vmDm3wPew0Sl6/uRMj2nvxzK9HOJdRxM0f7+Cxoe14eEiYxZmhRP20OCl42LBhBAQEsGzZMvGxxMREQkJCOHToEDExMfW+/vbbb6ewsJC///5bfGzMmDE4Ozvz448/NrodN2pScJVOT6eX1tXr4+diq8JRqySnpJKSCp1YpbQ5ONkokSEjr7QSP2cbvrgnlijv5n3ep9ILGLt4myg4Qa42bHnGMADo9QKhz1Z/JxZO7sTzK49ZtN1Bq6SLvzPba5xDPTUigseGtTO87u+TfLY1nq4BzvQMceWzrZbh3rd292fR5E6M+2A7p80O1NUKGT/O7MP7G86w7WwWk7v6sfpImniW46BRsn3e0GaVhUjOKWHke1tqbe21BZRyGV6OWtQKOQnZxcgAuUwmns8p5DJ0eoFBEe5sOZOFXAbvTumCQi7jsR/jsFUrCHO35Wg9hTobokeQC/vMXCzMtzxD3e1YMas3Hg5aRr+/lVPphchkMK6TD6uPpNEt0JlFkzsx8v1tzX7/3qGuDIrw4I211lfH5ijlMtRKOXZqBV6OWm6L9WdMRx88HbW1rs0truD5lcf466jB3b2LvxPv3h5DmId9rWuvRS73GNykldWzzz7LmDFjCAgIoLCwkOXLl7N582bWrl0LQE5ODklJSaSmGraNTp82/LK9vb3x9vYGYMaMGfj5+bFw4UIAnnjiCQYOHMgbb7zBxIkT+eOPP9iwYQPbtze/+NuNhFIh567egWQXVRDqYZghezho8LDX4u6gxs1Og1op5/W/T7LEOFB7O2oZ38UHHycbSit16PUCX2xPIK+e8h0apZy7egXyze4LVOoEugQ4s3RGdzwdav9R1oder0en01GlBxuVjGGRnqw3WhNVmR3qm58DtPd2YP5vRy3u0yvElXemdGHb2SwLsXKzU+PvYsO3uy9QWFbJ93sMJTB8XWzYUCOwAOClCR1YsT/ZQqgA3ry1C5U6PdvOZqFSyLi/fwi/HUoRn5/RN6jZ9YsWrTlFaaWeHsEuZBSWcyG7RKxDVR9NcSr3d7YRUwjkMpgSG8DGU5fILKxArZQT4mZnXPlVUlReJYpBlV4QozrBsGLVmc1nTZOFLWcMn7legNkrqr0iSyp0LRIqgBNWVs+mbd74rGL6v7GJRbd0Ztm9Pej/xiaq9AK747NRK+BgUh7jP9zR4HvUt228NyGH3fHVK34blSF3zdpWcJVeoKpCR0mFjsyiCo6tOsGCVSfwc7ahs78TscGu+DppjTXFKukW6IyrnZrfD6Vw+GI+YxdvY/6YKGb0Cb4mCixeTZokVpcuXWL69OmkpaXh5ORE586dWbt2LSNGjABg1apV3HvvveL1U6dOBWDBggW89NJLACQlJSGXVy99+/bty/Lly3n++ed54YUXCAsLY8WKFfTq1aulfbtheG5cw+eFIcYcIC9HDTvnDbX4w7iQXWxhgTRneAQKOUyM8SPA1Ra9XuCtdaf5ZLPBg25cJx/emdLF6kFxck4JC1YdZ19iDsVmg2BjEGqkd4a625GaV8pJM6NOkz9ctyAXZny5l5JynYWZa3ZxBXPMjHZN2KkVnM8srmXdcya9kLdrnC/ZaRSM7+zD7UsMKRlTewSiMsvzsVEpuK9fSOM7Zsb2s1n8dTQNuQxentCR46n5PP3LkQaFCgxCUB+rH+vPrG8PkJJXio+TVhQrW7WCPmFuJOUUk1mYg7ONin/mDBRfJwgC5zOKmLJkNznFFVfVogmg2MougXlryqv0zFkRR4CLDV6OGlLyysgqqjCGtTeuOKRAdaXmmtZaNbveI8SVW7r5M7CdB1vPZvLF9niOXKwW1CBXW7KKyyku1+FsoyK/rJKUvFJS8kpZU0/FbJVCRnmVnpf+PMHqI2l8cEfXNlejqi0heQPeIBy5mMeED3fgYqvi4AsjLAJYKqr0RDxvcCIZ0M6db++vniiUVuh48qc48Y/u0SHhPDkios5Z4G2f7mx2Lazv7utB/4jqs6/FG87w3oaz4s++zlqWzoilg68Tc385YpHrBQYhC3S1xdNBi4udCnuNCm8nDRFeDqTnl7FwzSn6hrmJ52BgWN2VVhprBGEYxIa392Jar0DuXbYPjVLO1meGcPaSIR0A4P7+IbxwU9MDiiqq9IxZvJXzmcXc3SeIlyd2RBAEIl9Ye0WKHl4uugU6c3NXP/Ym5PDnkTQeGBDCnT0DxXO6B77ZT0mFjkcGh6FRyXl3/dmGb3qFaYxAK+UyeocaLKm8nbWsPJjKPyfSLQKTugU688ld3UjMKmFvQg7HUwvILCpHIZNhr1Vio1aQUVDGkYv5tURVLoORHbz58I6uojPKtUSb2gaUuHaJ8HJArZSTW1LJuYwi2nlV+8etO2EQIicbFYtu6Sw+nlFQxoPf7OfwxXxUChmLJnfmlu7+9b5PoXGbqleIK/8ZHMaD3+ynUifw5Ih2BLrasv1slliA0cRHd3Shd6g7bmZbin/EpVgIFUDvEDc6+BqiqF6f3ImpPQPYl5jD68Zqvj/N6kNssPWqrXcYV0nD2nshCDp2xecBiEJl+oxOXyqkR7ALb68zrLbu6RuMl6OWb3YmAgZBm9lMf8NlOxM4n1mMm52aJ0ca7KqKyqtQymVU0DYLUpqzdEZ3VuxLZsNJw7atq62K3c8OF90ldHqBP4+kEZ9ZTKjZOYyng4bE7BIGR3nSI9iVmQPDiHphbZPeO8jNljt7BrB0W4JFnldr0ZiVZJVeYPu56m1nrUqOl4MGQUCs1HwwKY9er/+LViVnfBdfXp/cySLfzER5lY4DF3L551g6285lEZ9ZjF6AtcfSueWTnXx1b0+rr7uRufbkW6JZaFUKehlzaDadtixf8c9xw1nOHT0D8TNuQ5xILWDSRzs4fDEfF1sV3z/Qu0GhAnh0qCFSNC45jzAPe3GrcFxnX1zsNPxhDINXm7kTjOvibyFUAN/vri63Pm+0ITx4tZmTtEIuIybAmY3GgXNCF986hSq/tJJ9xuTm4e09+XFmP7RKy5Xh4AgPLhVWG6QeTzVE9T00yGC5YzoUD3a3xcvK4XlDXCooY7FRfOeOicLJRoUgCDz3+zFxe68lQuVqqxatjb65ryeJi8bhbm8Y7MZ19iZx0TgSFo7Fx8nQ9mA3W358sDef3tWdb+7ryY65Q/jynljRMspEmIcdiYvGkbhoHBqlgg0nM1DIZbjaqcgpqWT9iepzwBijz2Bccp6FmauzraEdpghTrUrBoRdGNKl/F7JL6Broyuanh3BTJ5+GX4AhYKc+tKraw581hwrz76o5ZZV60gvKRaGq+dzP+y/S7dX1BM/7i18OWEYnapQK+oa58/LEjvz71GAOvlDt+nP4Yj4j39taK3n7RkcSqxuIEdGGdIANJ6rFqrxKxyZjgMNIoxXRxpOXuO3TnaTmlxHqYcfvD/cTk0UbYlwnH/qEulFepefTLeexM1ad3Xw6k1nfGlZZ4zr5NOgU8ejQcKb1CmTHvKHMGmRYyVRU6UV/OjCI7J6EHDRKOXPH1J3vsuVMJlV6gTAPO4Lc7CgsqyTA1XJQLq2oIq+kEhuVgt8OGrYXHxgQgoudmsPJeSQac5P6hLo36nOoyWt/naS4QkfXQGdu7WYQ/Z8PXGTV4VRkNN4dXqmQWR2E23nZU16lx9NBQ79wQxtlxrua4lZkMhl39gwEDIN/B19HRnf0xtdZy/zfj3Hfsv3EZxXjbq9mWi/DdW52ht9TeZVOdKq4u08wd/Y0+BQu31c9qYj2cUStlJNTXGFxVmNy0cgrqV4Rudip2fDkoEb22sCSrefZdCqD3QnZtZ5TWRGUi3n1W3uVVeprCVFpha6WU3x7H0dOvTKaQy+MYNszQ/j78QEsndGd+/oF09nfyep71+TrnYnEZ9adBO5qp8HXOJEIcLExJOZ/vZ95vx65oqkObRlJrG4g+oa5AbA3MYcPNp6lUqdnd3wOReVVeDho6OLnxBfbE3jwG0NiZN8wN37/T78mOTXLZDIeG2ZYXa2KS8XRxiBWr64+QVmlnsGRHrx3ewz2mupIuqd/rh0QMTDCg9du7oSfs41FblUnP8M2YHmVjoVrDMmmDw4IFVeE1jDNUIe396KwrJIZX+zhbIblwLHHeM7m52xDfFYJLrYq7u9vCKL4cFN1HSlzH7zGUKXT8+IfxwyiJINXJnREEPTM+uYAzxidFwQav6rSKmSk5deeyWcbk38nxviKZTxMib2lZoEZDw4MRS4zvN/7G87w0qrjjHp/G1vPZKJSyJg1MJRN/x0sOkaYtvi+2J5gFDINs0e04/YehpzGbWezSDb6BKqVcu7tGwzAM78cEd0eXIzbWTVLf4R72rP6sf64NtLXb8PJDB778RBZRRWEedjxwdQYIrwMv49KnVBLeEyRi271bKdV1AhsEagdYHH4Yj5RL67lQk4JAa62RPs6MiLaUE17Wq9AHMyS3s2Ne+/sFSiuZI+m5DPs3S3M/GY/By7UToSv0ulJLzCI6/cP9uLBASHIZLB8XzJjFm+1KGN/oyKdWd1AhLjbi8mf764/Q6Crrbg9NizKkxdXHRdDve/oGcArEzs2K2mxd4gb3o5a0gvKcDcbDHqFuPLpXd1RK+UMjvQQw8V/PnCRt27rUuf9fJ1tcLNT09HPSfQ2/GbnBS5kl+DhoOE/g+t2x67S6dl82uC+0CfUjRlf7uVQct32EaatwP8MDsNBq+JUeoHFVpdnE7wDAY5czOUbY7KxIMD4DxtOyXDUKCgotx75V1yhtypsF4wrv0ld/QCDuarp/NA8wVurUhDibsf5zGK+3pUorrpGRHvx3Nj24sTEJHQapZyUvFL+Zyz8+Ny4KBy1Khy1Kga0c2fb2SxW7Evmv8aSMf8dFUlcch4ZheWsO3GJCV18cTFuA+ZaSTTv6OfEPf1CeNcsGvXmrn78fiil1rUmnhhmSKjVKBWM7ujDi38cY/m+5FrCY2J0B2++35tk9bn6UCtkFvec9NEOgt1s2fz0EOKS81jwxzGxyGWYh6HKdr8wd46k5HMxt4QxHX2QTzKEwi/dFs+GkxmsO3GJdScu0T3IhZkDQxnR3gu5XEZidrEokgPf3Cy+p61KQXJOKVM+28WsgaHMGRFxw9o1SWJ1A6GQy/j63p48+M1+Y1htGvuNK4qjKfkcTy1AJoNnx7TngQEhzS6DLZfLGNbek+/3JKHTG0bDMA87Pr87VvxDmz+2fa0E3bpwtVOz97nh4oohu6icDzYazn+eHhlp1c7JxP4LueSXVuJko+S9jWc4nJwvBjKoFDKm9fBn2e7qqMLCsio8HTTM6BMMwEebDOH6tmoFJRU63OzUpOWVkJhdQrSPI0621bP2tLxSPtlynpVxKRSUNn7rRiGD5TN78+fhNL7ZfYHCOoQK6l6BVeoE2nnaE+3jaGxLmXhtqlne1I5zWaQat8d0eojwsufFmzrQv53l9qYpOlGjkvPaXycordTRM9iVSTF+4jVTewSy7WwWPx9IZvbwdigVclQKOV/f15MX/zgmtsVVXFlZD4yY3M3PQqwGtHMno7CMHedqb/cBeDioxUKhaqWcRbd0pk+YG0+uiMOaXi3fnywmM4Mhb6qTv3ODqxV7jeFcafXR6i3NxOwSnv75MD8bz6DsNUpmD2/H3X2DxYldTIAzMQHO4mt6hbrRK9SNcxmFLN2awO+HUjhwIZdZ3x4gxN2OBwaEINQR4FFiFsb/2dZ4Np/O5N3bu4iBRjcSkljdYET7OvLWbZ25c+ke9iTkkFdSidJoY2SjUrB4agwjO3i3+H2GRpnECp4b254psQE4aC23exIXjWv0/RRmBwnvbThDYXkV0T6ODQZ9mLYA5TIZh5PzRZsoMET1PT0qykKswFC7qma0mikI4s7PW7fOmlYl55v7etEjxJUwD3u+3X2hUVuCJvE0Z2CEBwVlVTjZqERDWTDknp1My+e99WdZZ7ZKdLNT8/fjA6yGSZs+o8PJ+aTklaKQy3h5YgeLCcyIaC/c7NRcKihn0+lM8UxUq1Lw5q3VK2VT+Y6cYutJ5zW3cOOS84jycqxTrJ5feZw9CTm8dnMnHI3fqYkxfpRW6pj369Fa19d0bOkZ4sobt3RhzOKttbYmzckpqWLj8XR6h7iy20zYTEI1uasfc8dE4uXYuNyocE8H3ri1M0+NjGDZzkS+232BhKxinvv9GA5mRsH39A1m3fHa5XRc7VScvlTIpI92MHt4BLMGhl6TIe7NRRKrG5BLxr1xU1mFKr2At6OWz++OpaNf68zYYoNdkckgJa+UiTG+ODWj3pA1zlwq5AfjVuULN0VbiJg11hkjHXNLKnHQKsXzm0BXWx4b2o6S8io0ShnlVa0fNC6u4OQyjr08iuziCsYu3iY6hagVcpbOiBWDV1ztNXQOcOJwjW3KEDcbErItDXa9HDQk1DCk/WJ7AutOpLNu9iDRUNaUPzT+fzuo0gso5DL8nG1IyilBo1LUOdiZxMrkZjGjTxDtfSxzZ9RKObd29+ezrfEs35skilVNXI2rz7w6VlY1V/CGSU51tWNri44/D6dx8EIui6d2FaNA4zOLa19oRKWoNiO+VFCGXq+nf7g7fx5Jq/M1AKV6LIQKDL/Xp0ZG8MHGcxxPLUAnCJzLKGJqjwCL1I+68HTU8szoKB4eEs6Kfcl8uT3BwjWksLSS5TP7EOhm2PLem5BDSUUVnfycePb3o/xz/BJv/XOajScv8e6UmGu6+m9TuHFk+QZHEAS+2ZXI/N+OMGeFZUBDtI8jKx/p12pCBYacLVMwxMq4us8fmsr//XUSvWAootjHGDBSF0eS87hgPPx3NrbHlE/TLciZqBfWEr3gnyYJ1agOnnw8rRtf3RPLqA5eaFVy7DVKegS58OrEDhx9aSSJi8bxy0N9xBVSpV5g1eFUnlh+SBQqhQw+ntaNAe08LO7/5PCIWu9prXRJTXd48fGcUnbHZ5OcYxi4TVZJVXqBAe3cWfvEAKJ9HKy+1hzzhFV3ew1zRtRuFyAGWmw6nUFavvU2iaHrdYhVTXR6AU8HDZ/e1Z0P7uha53UpeWXc9uku3lt/hiqdnq01ilOaY26VdCq9iL5vbKpTqFwaSG8SgLfXnaFCp+f0pULOGYN1lu9Lrv+FNbDXKLm/fwibnx7MG5M7iY//eiiFwW9v4pHvD3I4OY+eIa4MjvTEzd7wmbxzWxccNEoOJuUxZvE2vtt9gevE26FepJXVDcKp9AJe/ON4rcfDPOz45T+G4natzV29g3jmlyN8tOk8t8cGtnh19e+pS2w9k4lSDiPae7HqcCr5pZXkl1SIZywVOj3HUgooKa/iaGr1CqWovNLCuWLlobrLniQuGscLK4/x7e4L9A93p72Pg+jeHubhwFhjns+QKOsriSqdnheMn3VnPyeOpOTz5j+nyTTm48iA96d2ZbiVlcjACA+cbFRiPhlg9RymviTW9Scu8bcxL8w0ht3SzY+3b+tiuYqpZ4AzBVgAPDs2Stxuq0mohz29QlzZk5DDz/sv8rjRQNgcFztT6HrtLTdBEPh2V2Ktx397uC/+LoaVxYnUAj42Wn3Vej2weONZNp3O4JSZLdfw9p6olXL+Plq33VFNon0cKKvSE59ZjLOtqkUFHZuCSiHn9p6BzDX6X4a62xGfVcxfR9P462gavUJcmTUolMERnsjlMm7p7k/vMDee/vkwO89n8/zKY6w7cYk3b+mMt1PTcwCvFSSxukGw9kerlCNWYb0cTO7qx+fb4jlzqYi7v9rLf0dGEhvsgvl4KcNQjNE0iAqCQHJOKRtOGgZcLyctGQVlpOSVioEBVXr4rzHsu7HU5WYU4GJTa5WSUVAmWjk9MiRc3Db1cdIytBGlUH7Ym8TJtAIctUreu70Lo97fJgoVwJu3dmZ8F1+rr5XJZNzZK1D0YWwsaqVcFOwfzCLforztOZVehFopFz9jU5CLeTXgmiiM1/YIduHmrn51XgeGZPI9CTms2JfMI0PCa23Nmm8D6vWChVVXWaWe//vrVK17puWXiWL11MhITqQViFGdNVHJZRy5aLl1anLZqAtPBw0Zxt+JViVHLpNxIq2QwZEeXMguEYXKy0HNpcLGrQhPvDKqUdc1RPcgFz6a1o2l2+JZFZfKnoQc9iTk0M7TngcHhjIxxhc/Zxu+u78XX+9KZNGaU2w9k8mo97fy6qSOTKjju3WtI4nVdYpeL7DxVAYh7raEezqIuTDmPDw4HFe7poViNwWlQs7LEzoy48s9xCXnid56LcVWrcDX2QYPew32WiWutmrjYAy747NrVeC1ZmO0eGoXJsb4cyG7mEFvbbZ4bum2eCqq9MQGudA71JXPjauqHsGudbpkmMguKheNcZ8eFYmrncbivV+d2IHbYuuvuzZzQCifbjlf38LHAoWMWt6CWqWcsio9ozr4cCr9LIlZ1b9/0+y7PmPcO3oGUlGl597+DUeFju7ojdMqFSl5pWw7m8ngSEtBN20D6gUoKKsUfwawUSusiuap9EIx10shl7F4alcmfbSDhKza51KVeqHJVlWlFVW093bgZHohZZV6cQJlEkTTWZmviy12GhXxVt63JtEv/kPCwrHNjqI1cTK9kPY+jrw7JYanR0Xy1Y5EftiTxNmMIp755Qhv/3Oae/oFM61XEPf2C2FAO3fmrDjM0ZR8Hv/xEOuOp/N/kzpafM7XA9KZ1XWKKbl3+Ltb6bfoX1bGWW57eTlqeKie/KTWok+YG//MHsjkbn4WEU9N4c1bOmOvMawGXrgpmhOvjGbDk4P4cWZvls6I5Y1bO/PqpI48OSJCzCkyDRf2agVKY7KoKWd0Sqw/E2MMUYTmIdMmTLlmjwwNRyaTkWHMvWpMjtUba09RUGaIVLyjZyC3L9klBgtoVfIGhQoMSbQ9GhBFc6xtE5YZxctUkTbJbLIS7GY4kC+rpwZagKstz98UXW+ytQmtSiGuvpbvrX1uo1YazvWgdmKwOeZD/Kk0yzIhTjYqls7ojp0VOySwLlQyoKOvI9N61f7MC8t14rahn7ONxcRAo5Dx+YxYHLVKDiXlNUqoTJjn5DWXRLP383Gy4dmx7dk5fyjzx0Th5WhYEb659jR9F27k1dUnsFEr+e3hvjwxrB0KuYzVR9IY+d5WNp+uf3V5rSGtrK5TJsT4sjs+m32JORaRRiaeGRV12bb/ahLqYc+7U2LQ6QVKKizzj/R6qDTmYu1NyOGrHQnc1j2AZ36t3uY7famQonIdEV723N0nyOp75JVUMO3zPaLJqWnsKTJbPZgGdVOOSnZROX/E1T67KqnQ0dHPkcERhuAH03aRp2P9YnUoKZef9hvCml+d1IE5P8WJqzyNUk5ZpZ7pX+zhk7u6425f/72eGBbOtM/31ntNTW7p5sfxlAJOGZOtbVQKOhuDXFLzSymv0qFRKgjzNIiVXjBsu5qvBA5eyGHJ1nj2JeaKKy9btYIobweeHhUp+v/V5I6egSzbmciGk5fILCyvZaflbKuiqLyKnOIKsVwNYPF98HbSiO4cp9Nr18QK93TgvdtjmPntgXo/B9OqUiaD4dFePDoknFmDQhn45haL60zfEdPfhylisFwn8PzKY3xyVzfu/nJfo8ulKGTQN7x5dlzmWLNXctSqmDUojHv7hbDqcCpLt8Zz+lIhX2xPYNnORMZ39uHBgaEMjfJkzk9xxGcWc89X+5jWK5DnxrW/Yn/rl5NrvwcSVvFy1NIzxJV/jbOrTn6OvHlLFwrLK4nPLGZyt/rPIS4HCrmsVq6VOWM7+YjBCyOivXjpz+PMHh7ByPcMg8xz46KthlrnFhuE6kRaAS62KiK8HCgoqyQpu0Ssc6WQgZeTljAPezGxVVOPE8CjQ8LFQTyjwChW9RSa1OkFMYDllm7+7DqfzZ+HDUEOfcPcmDUwlEd+OMS+xFxu+mA7H9/VjW5WBv7sonI+3XKef443PjBgVAcvHhsaTkc/Z77akcDLf54AwMfJUIjTlJOVnFNKuKc9oe7VllEpuaX4u9pyLCWfO5futlrcsbRSx47z2ez4eCdgWLEoFTI0xnMwQTBsm5ly2H7ce4HHh1lGD7raqbmYW1orfP0VY1sBZvQO5g3jFurpS4UWQqrT6XjrnzMssxKMUZNnxkRxJDmPlXGpvL/hLNvPZvHe7TH1vqZHkAtvTenC/60+wYaTGaTml/HoD4dQKeRU6Q3foS7+jhy+WFDnPXQCVOl0tHRYVdSzjWhKF7ilmx9bzmSyZGs8O89nszIulZVxqfQPd2fe6Ch2ns9m2c5Evt+TxPZzWbw7pQvdgxq/Wm+LSPWsrkOqdHr+76+TLDOWtbi1uz+v39xJ9Hm7lnjwm/2sP3GJwZEeLLu3Z63nzYXK3V7Njw/2Fsuf/Oe7A6w5lo6fsw3rnxxodXa5PzGHx388ZJGAqVHKOf7SKJTGz2vYO5s5n1nMDw/2om+Y9Znz93suGJI7NUqeGR0pRgP6u9iw9enByOVyzmUUMevb/ZzPLMbTQcPWZ4ZYWOdU6vSM/992i6i2xrBkencxkbusUicmNCvlMDTKi21nsyit1OHvYoONSoFGKeeY0W/RxVZFhU5PcQ3XDCcbJZ72GpDJyC4qJ7eksklnQmqFDH8XW0Z39GbWwFAeWx7H1jOZvHVrZ4ut0OB5f4n/H//6WJZui2fhGkPAxYY5A1nw53EOJ+c3ycxVBrx7exdkyHh+5TGKyqtw0CiZ0sOPL7ZfqHW9qfiin7MNH9wRw99H0/hie6LVe6vkMiobWGnNHBjKs2PbN7q9AJVVetoZa8rd2SuQ12/u1MArqjl6MZ8l2+L5+2iauOXc3seRjr6ObD6TSWZhOXIZPDQojNnDIy7bOHC5x2BJrK4j9HqBrWczWbotXsz+f2Z0JP8ZFNbiQ9+rwc7zWdy5dA8KuYx/Zg8g3NMyPyjHKFQn0wpwt9fw44O9RKHaHZ/NVGMNqy/ujmVYe+th5mAwem3/oqVjhfmg2mnBPxSWV7HhyUGEWzGyzS2uYMg7m8krqeSOngEs35eMIBi24bbPHYKb2ZZfcXkVI97dQmp+GYunxjDRzL5ob0IOUz7bVWcibF30DnW1KMPeXGTA+C6+vDqpI042litgQRDYfDqDLaczKanQcTytQKwELZcZhDajsNxq6XfTvQVgfGcf/ndnN/Fxk1j5OGnZNX8YAMPf2cS5zNoBQWDYkrytuz9TegTw64GLfLkj0ep1chl8eGc3Ovk58fjyQxxKyquz38FutlTpBC4anTrmDG/H6fTCBhOG66OpgRZfbk/gldWGVaaNWsHHd3ZjYIRHg0nv5iTnlPDF9gR+2p8sbuE6aJQUmgl9ex9H3ru9C1HerT9GSsUXJRrNVzsTedX4hdeq5Lw3JYYxjaz909bQ6QVeXW1wVZ/WK9CqUN25dDen0gtxt9ewfGYv8RrDaw2fw+gO3vUKFRgGh5o8/csRxnbyQS6TiX/sdZ1ZvbXuNHkllQS42PCTUagAvrynh4VQAdhplNzczY+PNp1n/YlLFmJlqj/VVBorVCqFjK6BLpRX6kQDVjAE2wyO8ODVCR1R1xHAIJPJGBLlVWdumYn//hzHLwdSsNcoqKgSxEg/k4T9eSSNv4/9TUdfRws/wi7+zgC8/c+pWkLl6aChR7AL88ZGEuBSPVlw1Kr4akeieG9XOxVudmrOZhhMYR//8RBPjYy0cJ23RmJ2CeGe9ozq4MU/xy/x9roz9Ah2wdtRQ3pBbYf7xvDeutM8OarusjU1Me2CgGHydO+yfQC8O6ULk7s1XEcODEExL03owOzh7fhu9wWW7bxAVpFl+0+mFTDhfzt4amQEDwwIbZIYXm2uvX0hiTrZHV+d9LpiZp9rVqgAft6fLOYqza7h6pBdVC4KlYeDhuUze1uIWVxyHsdTC7BTK1gwoeHy8+YJsOYsXHNSjATUquQWpSBMHLmYx4/GvKZLBWViEMfjQ8PrdNgwhXbvOJdl4VsX6mFPz2DXJq2qahLhZY+zjfU5qFap4KdZffjj0f7iYx72GvY8O5w3bu1Sp1A1hbv7GMqqVFQJ7Hl2GGdfHc0LN7W3EGKdXuDwxXzRJBhg7fF0guf9xYdmj9moFayd3Z+9zw3no2ndLYQKDIOzv0t1tKJcJuOb+3vhbZxUVOkF3lh7ilPphTjZqHigf4joU1iTcxlFYhFSGbAvMddCqBoa02sm436w6TzrjjVuZSYIgkW0pjlP/3IEfRO/EM62ah4d2o7tc4ewaHInQj0s7ZgqdHoWrjnF1CW7SMq2/r5tEUmsriOWzogFYFxnH7qYuT5faxSVV/H2OkNI+ePD2lmU984uKmfa53tEofrxwd61tuaifRy5q3cgH03rho9Tw6HXNau4mooFHkspqI4EdNDW2tbRG4MqBMHgwWcqJxEb7MITVmyTTHQNcMZBqyS3pJLjZi4blTo94V5Nq5dlzvPj2rNuzqA6iwFaG3Azi5q3cqiLTv5OdPB1pEKn57dDKahUCu7vH8oTRmeLTn6OBLvZ1jujN9WlCnCxIcq7fgswc1uorKIKLhWUM7az5SRNIZdxf79gPt+e0ChXCmvS0JBeCIJAzcLDM787yIFE62a85nywsbpe2ro5A9nz7DAeGRKGh4OG6b2DLJKom4JWpWBqz0A2zBnE0hmx9Ai2DOjZl5jLmMVbWb436Zqwa5K2Aa8zmuJk3lb5eNM5sorKCXG3E0t1AGQVlTNt6R5OXyrE00HDjzN7E+ZRe3C3USv4v0mNO6Cu1OlruUUceH4E606kE+5pz+l0Q+i5l5UtwF8OXCQuOQ+otj9yslHxvzu6opDLOJlWwOHkPOb9VtsJ3MSED3c0qp318dOsPrjZqwnzsKe8SkdmUfWAPL6zDw8NCmPc/7ZTUqlDZzSzvZzc0TOQ51ceY/neJO7rF4xMJhMTVG3USv58bIB4bUlZJVvPZfHP8XRyiivoFeJGnzA3bv54J2cuFfHtrkSmm30HzEnMKhYnEyYmf7xDFBbTOZlOL7D433O1Xt+aXKpju/CWT3ezbnZ/IuoR3fc2VOf6RRjPXJ8eFcXTTdhGrA+5XMaIaC9GRHtxMCmXpVvjWXs8HUGA4god8347yroTl1h0S6d6I16vNtLKSqJNkZxTwufbDY4R88dEiZFLWcatv4aEqqmsiksVHcpNyOUyRnf0IdzTQbRaqvlHnF9SyWt/n6x1v7dv64KPkw3bzmYyZvG2eoWqsTzQP7jO527p5kdPY3kRQLSkMnE8rYAoH0cxh8hkNutzGT3kJsb4YqNScDajiINJhnppptVxzdB1W62K0R19eO/2rnx9Xy8eHhJO10AXpvc25NO98Mdxtp/Nsvo+W8/Wtl/SC+DhoOHdKV344cFeaJTG0He9oZKwj2PT+l2z+nBzGPn+dvbVUTvrJzPz2x8f7N3i92qIboEufHJXdzY9NZi7egeKlY3/PZXBqPe2ctg4+WqLSGIl0aZ4Y+0pKqr0dPZ3wlGrZOPJS6w+ksqtnxhm2l6OhjOq1hAqnV7go82GGbf5kGS+JWKauddMcn1l9XHRbNb0R3RP32BGRHuRnl/G9C+altBrTjsPO3FLqWuAM8+Ni8a2xnnSm7d0JnHRON6ZEmPxuHkdKzCsPvR6gQCjz57pjMKriYN2U3DQqrjJuBX3o9HRoqGaVjV5eUIH8R6/Hrxo9Rpzl3XTYnFyVz/+fWoQk7v50yfMna/u6SkKToVOIK2gzNqtrJK4aBxnXhvL3meH0cW/ZRUJbvtsF1VWbKXMk98bqiLQmgS72/F/kzqxc95QnhjWDhdbFbkllWw81XZdL6RtQIlmUVGlp7CsEjuNslaZ7ZKKKrKLKsgqKhcDCNRKOWqlHIVMRnmVnpNpBVzMLSW/tJKSiirSC8pJzCwmyTjYHrmYz9Sltb0EMwrKuXPpHtr7OBDp7YhcZoiwC/Owp72PA/4u9Z+HmLP2WDrxmcU42ah4ZGAorxsTUm/5eAe/PWIIQhCtlsy2AbefzeTXg4ayJ6YVS7SPI/PGRFFRpaf3wo213svJRsXhBSPR6QWW70vinXVnRGuo4e09eW5ctIWzw1trT/HR5vMcSs4jIauYHsGubDEOzlNiDaHb1qgZ/aUX4GByLoFutsRnFZOYXULfcGjnaS9uYV4OpvYM5OcDF1l9JJUXx0dbrKxqumZYQy6XcXNXP1YfSWPV4VRu6+5v4Q5RUaVnl5mLfkc/J45czOdibqlF4nnfcHe+vKcn9y3bW2fZe2s8NbL6zNHTUcvvD/cj9Nm/rV7bM8S1warDAE+siGPx7TFiYvvaY9WJ3x+ZhfNfSdyM5V8eGhTGwaRcYmuca7UlJLG6BqnS6ZHLZBRVVNVZuqE1EQSB85nFnEwrYOuZTA5cyCUhuxhBMBxeR3k74G6vIa+kgqScknr93xqLu70aW7WCSwXlFofoApBeUEZ6QRmbrLhwa5RywjzsCfGww8VWhdxsUJTLZKiVcjr4OtI3zI3FG88C4Ous5aOt8eJ1B82KH5rc0ssr9bz4xzE2nrxEitlWW6VOQC4znGm9svoE52qY6JqY0t2fneezeOXPE2LSb7inPS/cFM2gCI9a1z81MoIvdiRQVqnnmV+OMDjSgy1nMhnX2ceiCm9N+od7ML6LL3q9wJGUPJJzSjmVVkiQq2FldcFY5yo22EWseHs5zrG6BToT4WXPmUtF/BFnEBswnO0Vljfuezs0ypObu/rx+6EUnv7lCP/MGSh6DB64kCu6kwDc3z+Ep346zN7EHI6l5FvUZuvfzp3P7+7Bfcv2WnXfl8mgW4ALB4xblh4OGqb1srT1Kiir5Nv7e3LwQi5f7Uy0CNT44u5Ypi7ZzXFjonWMvxO//KevKErrT1zi4e8P8NeRNHydtDw3zhCh+tB31bZR4zpf3chdG7WCfq1gFXU5kcTqGqOwrJKHvz/IybRCHhoUygMDQi/r+x24kMszvxzmfB1VWHV6QfwjNUetkOPhoEGlkCFgyNCv0OmNA6OcEHdb2nk54GKrwlatJDmnhOX7krFRKVg3ZyAalZw7luymvEqPj5OW7x/ohbeTlsKyKlLySjmUlEdKbikCAgWlVZxMK+B8ZhHlVXpOpBVwIq1uW5yanEyr7RhRUaUnKaeYM0afPZOwWUMvYFU4tz4zGGcbFZfyy3ln/RnuNK4UnWxUzBnejmm9g1DVUalXLpdzd59gPtsaz/4LudxlPMM5dCG33r54OGj4n7Fg4RtrT/HJ5vOczywSzWtN24DmRrkJmcUtikK0hkwmY2qPQF5ZfYLle5OY3jsIG5WC0kodecWVjRIrmUzGazd3ZP+FHJJzSvlk8zkx6GCb2XmVnVrB6I7ebDiZwZ+HU/lqRyLvTLEU9IERHnx+dw9mfnPAwuV9YIQHW89k4u5gWPnJZYYJytxfj7BkendxBXj3l3stctPMcdCq+Pb+Xkz6aAdJOSXEXczn//46wUsTOgIG67DFU7vy8PcH+Xx7AiM7eFv0/53b6p58SFQjiVUbRGfMD1liNtsH+OHBXvxv4zl2xWfj7ahtdLJgc8guKufjzef5akcCesGQZxTp7Uj3QBcGRLjTwccRd3sNqfmlnEgtIL+0EkcbFQEutvi72uCgUTY6g7+0QsfQdzYD8OjQcDRKg1CdzyzGx0nL8pm9CTIOtrZqJV6OWqu+ejq9wMXcEs5cKuJCdjGFZVUWYcg6vcFWaE9CtihQLrYqbu3uz7D2Xqw8lMzyfYbtvQij9Y0JpRzstdUF+UxmqT2CXbilmz9F5VUUllVRVqmjvErP+C4+uNpp+HjTOT7flkCFTo9CLmNar0DmDI/Axa7hBOCnR0by5Y4EKnUCPx9IRi6D1Pwy0vJLGxWS72t0TE/NKxNXb4lGsTLfclx1JIUnR0Q2eL+mMrmbH4vWnuJ4agFHL+bjYquiNF9HTkmFWLK9IWzVSp4b256HvjvID3uSmDM8AqVCbhFcMaCdBxqlgnv7BfPn4VT+PJzKvDFRtc4ZB0d68un0bjz49X4xH25qrD9bz2Sy63w2ga62JOWUoJDJWH/iEsv3JXNHz0AAuga6WBUrU56Xq52an2b1YewH28gprmDZzgvEBrtyU2dDbamxnXy4rbs/Px+4yAsrj1FgVlzzlu6X7+/4ekISqzZIdnF5LaECxJk5wKJbOlnkH7UWGQVlfLEjgW93XRAtW27u6sdL4ztYrfTr72IrFslrLku2xpOWX4afsw0Tuvgydelu4jOL8XXS8qOZUDWEQi4jyM2uwet3nMti2ud7UCtkrJsziLJKHUu3xbP6iGV5B1uVnJJKwyy8g2+1ialWZXBQD3Kz5at7e4pbUyb0eoHfDqXw0HcHxW3E/uHuvHBTNJHeDZeUN6FUyrm5qx8/7b/IzvPZ+DsbCkUevJDHuM4Ni1WYMRn0RGo+QW4GMUrKLq51ZvTbwcsjVs62asZ09OaPuFR+2JuEs62a1PwychtZ3t7E8PZeYl7aybRCfJy1HEupXjnfbDRl7hboQpcAZw4nGxK1rVUtHhrlxcQYX34zVor++1g6/i5aLuaWMTjSg6ScEpxsVOSUVPDKnyfESMuXJnTgpQkdxPuYbKLMI0m9nbT8/nBfRr+/jdJKHU8sjyPK20FMWH92bHvWnbhk4f0Y5tG477aEFA3YJvF00PLulC7IZIYvs7X97Hu+2tcqB+Q5xRVsOpXBx5vP8cDX++i76F8+2xJPSYWOTn5OfHVvD967PabFJenrIj2/jE+3GPKc7usfwt1f7iU+sxg/ZxuWz+zTaKFqCv/717ClNzHGj3fXn2HI25v5ZteFWmapM4zlSGQyLNy2yyr1qBQy/ndH11pCdeBCLjd/vIP//nyYzMJygtxsWTojlm/v79kkoTLx0vgOKOUGZ3NTReMDDWwFmogJcEYhl5GaX4ZSbihOWVyhI7vYUixqhu63JlN7GFYmq+JS0BhDHGuGrzeEUiGno7Gsy5lLhRah7G52aovqzff1Cwbg290XahWkNLEvsfrzW30kDRdbwwrsRGoBDlolOSUVRPs4UlqpY/byOKv3GRJZfc6o11c/H+Rmx08P9UYhM6z0zaNCXezUzB5uKaCLbuncYP8lDEgrqzbK5G7+4jafXi/gZKPihz1Jltd8vIO7+wbzyJDwBusjmZNRUMbqI2n8dTTN6sAXG+TCQ4PCGNbe87Ib4L71z2nREfy73RdIyDIJVW8CXFu2YrPG/sQcdsfnoJQbcktMA3f/cHdmDQqlnacdvRduAuDTrYZ8L0EwCJapFIZegLmjo+hs9LMDSMsvZdGaU2J9LHuNkseGhnNPv2A0yubbGNlqlEyJ9ecHs6KGptylBl+rVtLex4FjKQUcvpiHj6OW1PwyLmQX426vISbAuc4JT5XRgeLL7QmcSi/Ey1HD9rlD6zxjq4veoa6EuNuRkFUsmsk2NnzdnGB3O3bFZ5OYXUyKmbhO6upn0aYxHX14zeEkGYXl/H00jUlda5fCSTZ7vUIu42hKPkq5jHOZxYzp6M2aY+nYaxU426o4mpLPexvOMHe0ZYLuKxM7MODNzQBsPZPFYDPB7OTnzEfTuvP0L4f5eJpllN8dPQNJzCrm610G9/fLsTtyvSKJ1TWAXC7j9Zs7iWUDMgrLeP2vk6yMMxwmf7f7AoMiPJjU1Y+BER51Hl6n5JXy1tpT/HkkzcKTLszDjmhfJ6J9HBkS5XFZHJmtceRinphDY5rdX06hAvhwkyGvyt3eYFIa6mHHosmd6RlSHXAQ6GpDUo7lakMQDLlYegEGR3pwXz+DB15phY4lW+P5dMt5Sit1yGQwpXsA/x0VWevMpLm8NL4Dy/cli84Mx1PzKavU1UoZsEbvEDeOpRSw7WwWgW62RrEqoXuQK/f0DWL2ijzAkIz968GLfLEtwcKl28SlgnJe/vN4o51BTMhkMm7vEcAiY9kPaPrKCiDSGAByMClXrCgAcFus5XmPWinnrt5BvLv+DF/tSGBijG+dEy6lXMbiqV15fPkh0YEku9hQTmNvQi4v3hTNK6tP8OmW8wyK8KB3aHUeVIBr9Yr/h71JFmIFMLqjN6M6eNV6b61KwcsTO3IoOY8jF/M5nV7YKjmDNwKSWF2DeDpoeX9qV27p7s/b685wODmPDScz2HAyA6VcxuBID27tHsDIaC/kchlllTr+PJzKojWnxJVEt0BnxnfxZUxHn1omnFcCQah2RjdxuYXqWEo+m09nIgPSC8rRKOUsmd69lqP7lqeHEDK/OqdGIQed3hA27+mg4e3bDFu0ps/UVGm2R7ALC8Z3sAibbg3UKgVejlrSjDW3KnUCx1LyiTWL6KuL4dFefL49gX+OpTM82uCYfiG7hEqd3qK+14A3NzV4L/PBuinc0s2ft/85LQpCTnHTxcrk0G4uVB39HK1OrO7sFciH/57j8MV8Dibl0T3Iha93JrJg1XGL0idRPo6M6+yDThCYvfwQesEgUv3D3dh+LpuzGYXcHhvAiv3JPLkijjVPDLS6Hb7hpPVS9vXtSrT3duTIxXxOpReKBUcl6kcSq2uYAe08GNDOgzOXCvntYArrThiSXE3CFRPgTJiHPeuOp4uz5Q6+jrxxS+dWH1Cbyppj6RZnB/4uNvz44OUTKoAPjf5wvs42pOSVMrmbXy2hEgRBrCtkwtx44P3bY0jLK+M/3x0Q2+/nbMO8MVHc1Nnnsm2bBrnZimIFhnOrxohVz2BXfJwMQvf7IUOk4+KNZ+sNxfdztuGxoeFM6uqHVqVAEARS8kqbHUjj4aBhRLQXa4xJsI0xk61JuKcDT42I4J311T56Dw0Ks3qtu72GCTG+/HLgIst2JtLZ34kFqwzFMPPNovDGGUVigjEvbfaKOKA6YvK3gylsfGoQexKyScwu4dmVR/nwjq61DY0FeGnVcXJLKiguryLUw54gN1vc7DQ426qw1yhxt9fgZq+mrFKHRqkQvSabs8q8UZHE6jogwsuBeWOimDcminMZhfxyIIWvdyYSl5wnnkn4OdswrXcg9/ULadT20eWkrFLHwjXVvnoBrgahamlUYX2cvVTIWmOpeFOEXs3ET4DBb23mQh3lGu7pG8TKuBR+PnARwRjO//DgcGYODL3sn2knPyeLulWNPbeSy2WM7+JrNbrUnAf6h/Ds2PZWHb5lMlmLfzdTewaKYmXyJ2wqjw1rZyFWNYNbzLmnbzC/HLjImqNpzB9j3RB21sAQ8f8ndfXjdHoBn2yJ52JuqWg/9EdcKounduWWT3by15E0hkZ6iqHmQyI92XTaYE9kXo+Kk423LGrOKvNGRRKr64xwT4Nw3d03iN8PpVBUVkXvUDf6h7s3u9RAa7NsZyLJxjOhAFdD1J+fc8Oh2C3hY6OzetcAZw4l5xHoaksHX8stpPuX7ROF6plREXyyJZ7Csurzm58PXBTLv0+K8WXumKhG5Tu1BhO6+LJ0W4L484ELeY2yLQKY3juIPQk5lJRXcTbDusPGTV18L+v3Y4CZO8LBeqr21kdxjbO0J5bH8dOsPlajLDv6OdEz2JW9iTl8v+cCiYvGNfh5PTM6il8OXiSzsEJ0Yfl6ZwIPDghl9vB2vL3uDAtWHadHsCuBbrZ8PK0rz/9xHBuVHEetChdbNVq1ghOpBWQWlpNVVE5eSQXFFTpyiisszolNqJsYsHIjI4nVdYqPkw0PDw6/2s2oRW5xhbgdF+hqy48ze192obqQXcwfcYYtMHdj0EPNw+8vtidYmHgu3njOwuYJoLhcRxd/J14c34HuQVfWQ62TvzPD2nuy0Thrzyoq52JuaaO2TQNcbfnjkX4UllUy69sD7DyfjVIuY+HkTjz9i8FIVX+Z6xnJ5bJGe+jVxV9Hq4sZdvY3eAFO/2IPv/6nr9XP4d5+wexNzOGHPUk8NrRdg6tfmUzGI4PDeenP6m3gjMIK/j6ayn8Gh7PlTCb7EnOZveIQP83qg41a2Wj3CZ1eIK+kAjuNkvJKPcfT8tl5Lps7ewU2svcSkqxLXFEyCsspKq8i0NWW5VdAqAA+3XIevWDIjTE5qptHYP24N6lWsEdNoQJ4bGgYvz/c74oLlYnFt8egMBPYxuZbgaGK8ZTPdrPzfDa2agVf3NOD22KrzXCT69j6bE2ifapXss0p9tct0AUfJy2zBobyzX09ifRyIKOwnBlf7iXXynbaiGgv/JxtyC2pZJUxpaAhJnf3x6aGqL3210lkCLx3ewwOGiUHk/LEqNLGopDLcLPXoFUpcLJV0TfMnf+OihRdRiQaRhIriStKpLcDfz8+gL+fGHBF/lBT80rFSsCPDg0XRchUJ2vloRSe/d1Qc2rmwFCeGlnb9cDEbwdTrupWqr1WxTOjq50mFq09Vc/V1ZzLKGTyxzs5mVaAu72aFTP71DLP/daY93M5Md+uK63U1XOldcI97dk1fxjzx7bH2VbNt/f3xM/ZhoSsYmZ+u5+yGvdUKuRiYvcnW87XmSRsjqNWJeZmRXkbJjSZRRU89fNh/Jxt+L+bDX5/H2w8y4ELzV8lSjQdSawkrjjRvo71Ho63Jku2xlOpE+gT6kb3IFcqjaF9KoWctcfSeernwwiC4Vxn/pgoHhtadzl6pfzq/7nMGhQmnnOk59dfm6miSs93uy9wyye7SMkrJcTdjt/+049OZrWZ+hvPkq6E63ewmRtJawQWeDpq+ereHjholexLzOXpX46gr3EudGevQNzt1SRkFfPNrsRG3feu3oatuXMZxXTwNQjs74dSeWfdGSZ08WVSjC96AWaviKOwrOUVBiQax9X/65OQuExkFpbz416D68ejQw3nd3bG3KIDSbk89uNBdHqBW7v78/KEDuIZ1tu31WGB0zbiU5hpFsWWYaWYoCAIbDx5idHvb+X5lcfIL60kJsCZX//Tt5aB7LJ7e3Dq1dHc2y+k1n1aG/OaYM0JX7dGhJcDn97VHaVcxp+HU3ln/WmL5x20Kv470rAaXbzxLNlF1svPm9PB14lBER5U6QULw+EPN53j/Q1neWVSR/ycbUjOKeWlVSfquZNEayKJlcR1yxfbEyiv0hMT4ExfYxVWB61BrL7ddYFKncC4zj68cUtni+29W7sH8MfD/Wrdr63kxDwypDpw5kVj/pCJM5cKuXfZPu7/ej/xWcW426t5aXw0y2f2tmrto1TIr1gqg6eZo4cpkbo16BfuzsLJBmeNjzadZ/leS1uy22ID6ODrSGFZlUXoe308O7Y9chlsP5tNJ7OcxMUbz7JsRyLvT41BLjNUMf7zcOPOwyRahiRWEtcleSUVfGvc9nlsaDgymYzc4grWnTC4Dej0AsPbe/L+7TFWCw92CXRm8dQY5o+J4rVJhnOKgtIqSipqWxFdaWzMnCdM1WYv5pYwZ0Uco97fyubTmagUMmYNCmXTfwdzTxvIrQPLvKhzdYTQN5fbYgN43Lh6fm7lMYuS9wq5jAXjDY7py/cmcSzFel0qcyK9HbjdaMJbZNzq0xjPOd9df4a9CTk8apw0PPf70VYVXwnrSGIlcV2ybGcixRU62vs4iq7cL/15XCx70j/cjQ/v7FavMevEGD9mDQpjWu8gvBw1CBicudsC5vWonl95lMFvbeb3QykIAozp6M0/swcyf0x7ixLvVxvzVAFTUcvWZM6ICG7u6odOL/Dw9wc5lV79u+oZ4spNnX3QC/DiH8dqnW1Z48kREdipFSRkl+Bur6a8Ss/w9obv0lv/nEatlNMlwJmCsiqeXBFnNY9KovWQxEriuqOovIqvdiQC8OgQw6pqy5kM0RE9wsueJTNim7TaMJWoaMys/EowoF11ku13u5Oo0gv0C3dj1aP9+OSu7oS2cXPUs5dad2UFBjFcdEsneoa4UlRexb1f7eOS2Zne8+OisVMrOJiUJ0aI1oeHg4aHjasnUyTh+cxinhphCMJ5e90ZOvo6YqtWsCchp0GXEImWIYmVxHXHd7svkF9aSaiHHaM7epOYVczMbw4Ahq2oXx7qY2Hi2hhMbhfH28DKKim7hNU1zkl+fLAX3z/Q26JsSVvmbEbrr6wANEoFS6Z3J9TDjrT8Mu79ap/oB+jtpGX2cIPQLFp7qlFnkPf3DyHIzZaCsioUchkJWcV08HNkjvE+3+9JItCYkPzOutMctVJNWKJ1kMRK4rqirFLH59sMM9xHBoeTll/K7Z/tEvOrls7ojqNN02sIRRtXVldbrDafymDoO5vJMYum6xHsQp8w93pe1fao1F2+LTNnWzXL7umJu72aE2kF3Ldsn3jWeE+/YNp52pNTXMHb6043cCdDSY8l02OxUyvEbb4vtyfyxPB24hmZqfJvlV7gieWH2sS55vWIJFYS1xXL9yaRVVSBv4sNfcLcuOvzPVwyGtd28HVs9qBuWlmdzShsVHLp5eCbXYncu2wfVXoBhVzGwps7krhoHD8/1PeqtKc5XAnHEoBAN1u+vq8njlolBy7k8uA3hqRhlULOKxMNATPf72l8sMX7U7uKP28/l8Xp9ELmjIjgkSGWzu/xWcW8uvpkzVtItAKSWElcN1RU6fnMeG5we2wAd3+5l8TsEpyNNYjMk1Kbir+LDU42Kip1wmUJDqiP1LxSHvh6Hy/+cRwBQ1Taqkf6cYcV1/i2ToTXlTtL6+DrxLL7emKrVrDjXDaP/nCQSp2ePmFujO/iiyDAG410ARkR7cXTo6rdQ95YewqZTMZ/R0bWKlXy494k1hkd/iVaD0msJK4LsovKWbYjgbT8MmxUClYdTuVsRhHejlp6BBnqPoV7Nn+glMlkorfdlYgIFASBLWcyeeqnwwx5ezMbjAa29hoFa54YQIerXI+suUR41XZIv5x0C3Th87tj0SjlbDiZwZM/HUanF3hmVCRqhZxtZ7Mswtzr4+HBYfQz5uv9eyqDtPxSZDIZc0dHMnNgqMW1c389YjVhW6L5NEmsPvnkEzp37oyjoyOOjo706dOHNWvWiM8LgsBLL72Er68vNjY2DB48mOPHj9dzRwPvv/8+kZGR2NjYEBAQwJw5cygrk37REo1jf2IOfRb9y+vG0umllTrOZhRhp1bg7qBmvbGSq3np+uZQHWRx+Q7RBUFgx7ksbv9sN3d/uZdfD14Uz9s87DWseWJgm4/0q492V1isAPqGuVu4XMz/7Qh+zjZMN/oGLlxzqlGh7DKZjM+md8fDQcPjQ8PxdNCKj88fE8V9Zi4guSWVPPXz4UbdV6JxNEms/P39WbRoEfv372f//v0MHTqUiRMnioL05ptv8u677/Lhhx+yb98+vL29GTFiBIWFdW+bfP/998ybN48FCxZw8uRJvvjiC1asWMH8+fNb1jOJGwZ3ew2O2trRfcUVOo6lGFZBgyM96NGIyrr10cHv8kYEllboePCbA0z7fA97E3NQK+ViIq2/i5bfH7FeCuNaop3Z6ram8ezlZEiUJx/c0RW5DH7af5FXVp/gkcFhOGiVnEwrYKWxhExD2GtV7H12GE+OjLRIJpfJZLxwU3vu6RssPrbtbBZfmRdllGgRTYrfHT9+vMXPr732Gp988gm7d+8mOjqa999/n+eee47JkycD8PXXX+Pl5cUPP/zArFmzrN5z165d9OvXjzvvvBOA4OBg7rjjDvbu3duc/kjcgAS62uJiqyaryBCKrFLI8HbU4udiw6gO3ozu6N0qRRI7GCMCT6YVoNcLrerAXlJRxT1f7hNF6qbOPuw8n0V6fvkVq/t1JQg2S2ZOzy+z+PlyM7aTD2/d2oWnfj7Msp2JaFRyHh8azoWcEvq3a3zgTV0FHGUyGQvGR6MXBL4xuti/seYUfcPcaO/jaPU1Eo2n2WdWOp2O5cuXU1xcTJ8+fUhISCA9PZ2RI0eK12g0GgYNGsTOnTvrvE///v05cOCAKE7x8fH8/fffjBs3rt73Ly8vp6CgwOKfxI3JuhPpYgVcrUrODw/2ZtvcoSyf2Yd7+4W0WjXfUHc7NEo5xRU6saJwa5CWX8rD3x9kb2IODlol798ew574HNLzywl2s2XFrOtDqACLFXB8VusnBjfELd39ec1Y5uOzLfGUVOj5v0mdxC29liKTyXh5QgemGYsqVuj0zF4ed0VXkdcrTRaro0ePYm9vj0aj4aGHHuL3338nOjqa9HRD9IuXl5fF9V5eXuJz1pg6dSqvvvoq/fv3R6VSERYWxpAhQ5g3b1697Vi4cCFOTk7iv4CAgHqvl7g+EQRBLISnVshZOiO2xdt9daFUyIkyzpBby8nip33J9Fn4L5tPZ6JWylk0uRP/t/oEKXmlhLrbsXxmn1YT27aA+arkfEbxVWnDtF5BvHBTNADvbTjDZ1vOt+r9ZTIZr07syNQehjHp9KVCFq1pXNShRN00WawiIyOJi4tj9+7d/Oc//+Huu+/mxIlqm/yaS2RBEOpcNgNs3ryZ1157jY8//piDBw/y22+/sXr1al599dV62zF//nzy8/PFf8nJyU3tisR1QGF5FcdTC1DKZXw8rRsD2nk0/KIW0Ml4bnW0tcRqf/X39plRkfzfXydJzS8j1MOO5TN74+3UOjP+tsj5zCu/sjJxf/8QMRR94ZpTfN3KZ0tyuYzXb+7ElFh/wOBVeSip8ZWdJWrT5Ap4arWa8HBD5nZsbCz79u1j8eLFzJ07F4D09HR8fKoLuWVkZNRabZnzwgsvMH36dB544AEAOnXqRHFxMTNnzuS5555DXkfBO41Gg0ajsfqcxI2Do1bFl3f3wMlWRbfAy19u3lQuorVWVtnGIoQ9Q1xZui2eSwXlhHva88ODvVpta6qt0trO603lkSHhlFbo+HDTORasOo5aKeeOnoGtdn+5XMaiyZ1RyOX8euDiZXXtuBFocZ6VIAiUl5cTEhKCt7c369evF5+rqKhgy5Yt9O1bd4Z9SUlJLUFSKBQIgoAgSL9ciYYZEuV5RYQKEA/KTRY7LeFYSj5JxrOv0+mFXCooJ8LLnuUze1/3QgVXd2Vl4qmRETw4wBBy/uzvRxtlcNsU5HIZCyd34tjLo1qcOnGj06SV1bPPPsuYMWMICAigsLCQ5cuXs3nzZtauXYtMJmP27Nm8/vrrtGvXjnbt2vH6669ja2srRvoBzJgxAz8/PxYuXAgYIgzfffddunbtSq9evTh37hwvvPACEyZMQKG4+jV4JCTMMSUW5xRXkFdSgbNt030GwRC2/cwvR9DpBdQKOfmllUR5O/D9A71ws78xdgxyW6lacEuQyWQ8O7Y9FVV6vt51gad/OYxKIWNijF+rvo9aKfkvtJQmidWlS5eYPn06aWlpODk50blzZ9auXcuIESMAeOaZZygtLeXhhx8mNzeXXr16sW7dOhwcqhMBk5KSLFZSzz//PDKZjOeff56UlBQ8PDwYP348r732Wit1UUKi9bBVK3HUKikoqyKzsLzZYvXSquOcSCtAhiFirL2PI98/0MtqNd/rDQeNksLytmP2agg570CFTuDHvUnMWRGHUi5nXGefhl8sccWQCdfJXltBQQFOTk7k5+fj6CjlNEhcPiKeX0NFlZ7tc4fg79K0JF29XuD9jWf5YONZ8bEOvo58d38vXG4AoQKY9NEO4pLzAEhcVH+KypVErxeY++sRfj5wEYVcxkd3dmN0R++r3axrhss9BktrUwmJJlCp04uu63ZNrIlVUFbJg9/stxCqTn5OfP/AjSNUAGFt1C5KLpex6JbOTDZWG37sx4NsNFp1SVx9JLGSkGgCucaCfXIZONo0vmR8ck4Jt3y8k42nMsTHuvg78d0DvZq9lXitEuZ55VwrmopCLuOt27owvosvlTqB/3x3kC2NNLqVuLxIYiUh0QTyjUEBjjYqC2+4+jhyMY8JH27nbEYRplfEBDjz7QO9cGqC4F0vtNWVlQmFXMa7U7owpqM3FTo9M7/Zz45zWVe7WTc8klhJSDSBUqNtjo2qcZGq6fll3LdsP7kllchlIADdAp359v6eOGpvPKECS7FqqzZEKoWcxVO7Mry9J+VVeh74ej974rOvdrNuaCSxkpBoAjnGJN7GCs3zK4+SVVSOXAZ6AWKDXPjm/l443KBCBRDkVh2UEp95dSyXGoNaKeejad0YHOlBaaWOe5ft48CFnKvdrBsWSawkJJpAkTHk2lR9uD4yCsrEool6AXoGu7Lsvp5i2Y8bFZWiethJyGq7YgWgUSr49K7u9A93p6RCxz1f7uPIxbyr3awbEkmsJCSaQFZhOQB2DQiOXq/npT+rPTN7h7qy7L4eN7xQ1SQxu22LFYBWpWDpjFh6hbhSWF7F9C/2cjJNqvJwpZHESkKiEVRU6fl8WzwLje7Z9SXvFpRW0P/NTfx9NA2AEHc7vrqnJ7ZNDHW/EWjL24Dm2KgVfHFPD7oGOpNfWsnTvxyW7OCuMNJfj4REPVTp9Px84CIfbz5Hck6p+HhMgJPV65Nzipnw4Q7RSig2yIWv7+2JjVqyDrNGwlWoadVc7DVKlt3bk7m/HOHZse3rrSYh0fpIYiUhYYW8kgpkyLjriz1iORBXWxU5RhEa2M6DneezaO/tKCb0XswtYfT72yiuMES4PT4snCdHRF6dDlwjxLfxM6uaONmo+HR696vdjBsSSawkJIDMwnL+PJzKzvNZJGQVc77G9tT8MVHYa5U89/sxfJy0TPyoevV0T99gtCoFX+9MoLTS4G7x5IgIHh/W7or341ojrw2Y2UpcG0hiJSEBTPxwO6n5ZXU+b6NW8P3uJADSaly3rEbhvlkDQyWhagAHrZLCsrZjZivR9pHESkIC6hUqgBf/OC7+v7OtimfHtKdzgBNrjqazOz6bPQmG/Jtbu/szf2z7y9rW64FwT3sOJeVd7WZIXENI0YASEo3Ez9kGAC9HLbd092dPfA7LdiaKQnVP32DeurXz1WziNUNbt1ySaHtIYiUhAXx1T48Gr/nr8f7Ya5ScTi+k1+sbWLDqOPmllQS62vLmrZ1ZMD5aihBrJCHubdfMVqJtIomVhAQwONLD4mdzh4ohkR6cfW0MzrZq7u4bBEBWUQUyGSwYH82m/w5mSmyAJFRNIFQSK4kmIomVhATUEhrzKLVQD3vRIuiB/qG42qlRK+S8f3sM9/YLabT7ukQ1wWZiVanTX8WWSFwrSGIlIWFk5sBQq4//dvCi+P8udmrWPjGA7fOGMDHG70o17boj2K1arJJzSq5iSySuFSSxkpAw8uzY9iQuGseOeUMtHs+tkQvk6ajF00F7JZt23WHu6FEzp01CwhqSWElI1MDP2YaDL4wQf/58RuxVbM31z/nMa8dySeLqIeVZSUhYwdVOTcLCsUDt8yyJ1iVeEiuJRiCJlYREHUgidWUIlXKuJBqBJFYSEhJXhW3PDGHr2Uxu6eZ/tZsicQ0giZWEhMRVIcDVlmm9gq52MySuEaQACwkJCQmJNo8kVhISEhISbR5JrCQkJCQk2jySWElISEhItHkksZKQkJCQaPNIYiUhISEh0eaRxEpCQkJCos0jiZWEhISERJtHEisJCQkJiTaPJFYSEhISEm0eSawkJCQkJNo8klhJSEhISLR5JLGSkJCQkGjzXDeu64IgAFBQUHCVWyIhISFx42Eae01jcWtz3YhVYWEhAAEBAVe5JRISEhI3LoWFhTg5ObX6fWXC5ZLBK4xeryc1NRUHB4drusJrQUEBAQEBJCcn4+joeLWbc9m5kfor9fX6ROqrAUEQKCwsxNfXF7m89U+YrpuVlVwux9//+qk46ujoeN1/8c25kfor9fX6ROorl2VFZUIKsJCQkJCQaPNIYiUhISEh0eaRxKqNodFoWLBgARqN5mo35YpwI/VX6uv1idTXK8N1E2AhISEhIXH9Iq2sJCQkJCTaPJJYSUhISEi0eSSxkpCQkJBo80hiJSEhISHR5pHEqhXZunUr48ePx9fXF5lMxsqVK8XnKisrmTt3Lp06dcLOzg5fX19mzJhBamqqxT2WLFnC4MGDcXR0RCaTkZeX16j3/vjjjwkJCUGr1dK9e3e2bdvWij2rzdXq68KFC+nRowcODg54enoyadIkTp8+3cq9s+Rq/l5NLFy4EJlMxuzZs1veoXq4mn1NSUnhrrvuws3NDVtbW2JiYjhw4EAr9q42V6u/VVVVPP/884SEhGBjY0NoaCivvPIKer2+lXtYTUv7mpOTw2OPPUZkZCS2trYEBgby+OOPk5+f3+B7t8b4JIlVK1JcXEyXLl348MMPaz1XUlLCwYMHeeGFFzh48CC//fYbZ86cYcKECbWuGz16NM8++2yj33fFihXMnj2b5557jkOHDjFgwADGjBlDUlJSi/tUF1err1u2bOGRRx5h9+7drF+/nqqqKkaOHElxcXGL+1QXV6uvJvbt28eSJUvo3Llzs/vQWK5WX3Nzc+nXrx8qlYo1a9Zw4sQJ3nnnHZydnVvapXq5Wv194403+PTTT/nwww85efIkb775Jm+99Rb/+9//WtynumhpX1NTU0lNTeXtt9/m6NGjLFu2jLVr13L//ffX+76tNj4JEpcFQPj999/rvWbv3r0CIFy4cKHWc5s2bRIAITc3t8H36tmzp/DQQw9ZPBYVFSXMmzevKU1uNleyrzXJyMgQAGHLli1Nfm1zuNJ9LSwsFNq1ayesX79eGDRokPDEE080vdHN5Er2de7cuUL//v2b2dLW4Ur2d9y4ccJ9991n8djkyZOFu+66qylNbjYt7auJn376SVCr1UJlZWWd17TW+CStrK4i+fn5yGSyFs0eKyoqOHDgACNHjrR4fOTIkezcubOFLWw9WqOvdd0XwNXVtVXv2xJas6+PPPII48aNY/jw4S1v2GWgtfq6atUqYmNjue222/D09KRr164sXbq0dRrZirRWf/v378/GjRs5c+YMAIcPH2b79u2MHTu2FVrZOjSmr/n5+Tg6OqJUWreZbc3x6boxsr3WKCsrY968edx5550tMr/MyspCp9Ph5eVl8biXlxfp6ektbWar0Fp9rYkgCDz55JP079+fjh07ttp9W0Jr9nX58uUcOHCA/fv3t1LrWpfW7Gt8fDyffPIJTz75JM8++yx79+7l8ccfR6PRMGPGjFZqcctozf7OnTuX/Px8oqKiUCgU6HQ6XnvtNe64445Wam3LaExfs7OzefXVV5k1a1ad92nN8UkSq6tAZWUlU6dORa/X8/HHH7fKPWuWRREEoU2USrkcfTXx6KOPcuTIEbZv396q920urdnX5ORknnjiCdatW4dWq22lFrYerf171ev1xMbG8vrrrwPQtWtXjh8/zieffNImxKq1+7tixQq+++47fvjhBzp06EBcXByzZ8/G19eXu+++uxVa3Hwa09eCggLGjRtHdHQ0CxYsaPCerTE+SWJ1hamsrGTKlCkkJCTw77//tniG5u7ujkKhqDVLycjIqDWbudK0dl/Neeyxx1i1ahVbt25tE6VhWruvBw4cICMjg+7du4uP6XQ6tm7dyocffkh5eTkKhaKlzW4Wl+P36uPjQ3R0tMVj7du359dff23xvVvK5ejv008/zbx585g6dSoAnTp14sKFCyxcuPCqilVj+lpYWMjo0aOxt7fn999/R6VS1Xm/1hyfpDOrK4jpi3D27Fk2bNiAm5tbi++pVqvp3r0769evt3h8/fr19O3bt8X3by6Xo69gmJE9+uij/Pbbb/z777+EhIS0yn1bwuXo67Bhwzh69ChxcXHiv9jYWKZNm0ZcXNxVF6rW/r3269evVgrCmTNnCAoKapX7N5fL1d+SkpJaBQoVCsVlDV1viMb0taCggJEjR6JWq1m1alWDq/7WHJ+klVUrUlRUxLlz58SfExISiIuLw9XVFV9fX2699VYOHjzI6tWr0el04mzD1dUVtVoNQHp6Ounp6eJ9jh49ioODA4GBgWIQwbBhw7j55pt59NFHAXjyySeZPn06sbGx9OnThyVLlpCUlMRDDz103fX1kUce4YcffuCPP/7AwcFBvK+TkxM2NjbXTV8dHBxqncPZ2dnh5uZ2Wc/nrtbvdc6cOfTt25fXX3+dKVOmsHfvXpYsWcKSJUsuW1+vZn/Hjx/Pa6+9RmBgIB06dODQoUO8++673HfffW22r4WFhYwcOZKSkhK+++47CgoKKCgoAMDDw0OcQF228alJsYMS9WIKXa357+677xYSEhKsPgcImzZtEu+xYMECq9d89dVX4jVBQUHCggULLN77o48+EoKCggS1Wi1069btsodyX62+1nVf89dcL32tyZUIXb+aff3zzz+Fjh07ChqNRoiKihKWLFlyWft6NftbUFAgPPHEE0JgYKCg1WqF0NBQ4bnnnhPKy8vbbF/rej0gJCQk1NlXQWid8UkqESIhISEh0eaRzqwkJCQkJNo8klhJSEhISLR5JLGSkJCQkGjzSGIlISEhIdHmkcRKQkJCQqLNI4mVhISEhESbRxIrCQkJCYk2jyRWEhISEhJtHkmsJCQkJCTaPJJYSUhISEi0eSSxkpCQkJBo80hiJSEhISHR5vl/ymfeeC8XHRkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "traj_idle = tbd.points_to_traj(data_idle[data_idle['OpenStatus'] == 0])\n",
    "traj_idle.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b6e3b82",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 可视化数据点分布\n",
    "tbd.visualization_data(data,col = ['Lng','Lat'],accuracy=40,height = 500) #accuracy是栅格大小，数值越大表示一个栅格涵盖地图面积越大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e88e7ffb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 可视化数据点分布\n",
    "tbd.visualization_data(data,col = ['Lng','Lat'],accuracy=100,height = 500) #accuracy是栅格大小，数值越大表示一个栅格涵盖地图面积越大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "a49d1ed8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ScauTheShy\\anaconda3\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:112: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.\n",
      "  values = construct_1d_object_array_from_listlike(values)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User Guide: https://docs.kepler.gl/docs/keplergl-jupyter\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ed23012b9b84712ae9be47e56012790",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "KeplerGl(config={'version': 'v1', 'config': {'visState': {'filters': [], 'layers': [{'id': 'd3s4dcp', 'type': …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化数据点分布\n",
    "tbd.visualization_od(oddata,accuracy=2000,height = 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f32b173e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Time</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>OpenStatus</th>\n",
       "      <th>Speed</th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "      <th>ID</th>\n",
       "      <th>flag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>305125</th>\n",
       "      <td>105</td>\n",
       "      <td>01:39:06</td>\n",
       "      <td>121.4750</td>\n",
       "      <td>31.2270</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1616.0</td>\n",
       "      <td>1963.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303526</th>\n",
       "      <td>105</td>\n",
       "      <td>01:40:07</td>\n",
       "      <td>121.4716</td>\n",
       "      <td>31.2258</td>\n",
       "      <td>1</td>\n",
       "      <td>32.0</td>\n",
       "      <td>1616.0</td>\n",
       "      <td>1963.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301596</th>\n",
       "      <td>105</td>\n",
       "      <td>01:41:08</td>\n",
       "      <td>121.4708</td>\n",
       "      <td>31.2255</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1615.0</td>\n",
       "      <td>1963.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222441</th>\n",
       "      <td>105</td>\n",
       "      <td>01:42:09</td>\n",
       "      <td>121.4671</td>\n",
       "      <td>31.2240</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1615.0</td>\n",
       "      <td>1962.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300550</th>\n",
       "      <td>105</td>\n",
       "      <td>01:43:10</td>\n",
       "      <td>121.4668</td>\n",
       "      <td>31.2205</td>\n",
       "      <td>1</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1615.0</td>\n",
       "      <td>1962.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498666</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:52:55</td>\n",
       "      <td>121.5106</td>\n",
       "      <td>31.2715</td>\n",
       "      <td>1</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1624.0</td>\n",
       "      <td>1973.0</td>\n",
       "      <td>11844.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499217</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:53:56</td>\n",
       "      <td>121.5086</td>\n",
       "      <td>31.2756</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1623.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>11844.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499946</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:54:57</td>\n",
       "      <td>121.5118</td>\n",
       "      <td>31.2763</td>\n",
       "      <td>1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1624.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>11844.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833269</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:55:58</td>\n",
       "      <td>121.5168</td>\n",
       "      <td>31.2776</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1625.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>11844.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833270</th>\n",
       "      <td>40084</td>\n",
       "      <td>23:56:59</td>\n",
       "      <td>121.5178</td>\n",
       "      <td>31.2783</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1625.0</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>11844.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>130542 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum      Time       Lng      Lat  OpenStatus  Speed  LONCOL  \\\n",
       "305125         105  01:39:06  121.4750  31.2270           1    8.0  1616.0   \n",
       "303526         105  01:40:07  121.4716  31.2258           1   32.0  1616.0   \n",
       "301596         105  01:41:08  121.4708  31.2255           1   22.0  1615.0   \n",
       "222441         105  01:42:09  121.4671  31.2240           1    0.0  1615.0   \n",
       "300550         105  01:43:10  121.4668  31.2205           1   64.0  1615.0   \n",
       "...            ...       ...       ...      ...         ...    ...     ...   \n",
       "498666       40084  23:52:55  121.5106  31.2715           1   38.0  1624.0   \n",
       "499217       40084  23:53:56  121.5086  31.2756           1   20.0  1623.0   \n",
       "499946       40084  23:54:57  121.5118  31.2763           1   16.0  1624.0   \n",
       "833269       40084  23:55:58  121.5168  31.2776           1   10.0  1625.0   \n",
       "833270       40084  23:56:59  121.5178  31.2783           1    0.0  1625.0   \n",
       "\n",
       "        LATCOL       ID  flag  \n",
       "305125  1963.0      0.0   1.0  \n",
       "303526  1963.0      0.0   1.0  \n",
       "301596  1963.0      0.0   1.0  \n",
       "222441  1962.0      0.0   1.0  \n",
       "300550  1962.0      0.0   1.0  \n",
       "...        ...      ...   ...  \n",
       "498666  1973.0  11844.0   1.0  \n",
       "499217  1974.0  11844.0   1.0  \n",
       "499946  1974.0  11844.0   1.0  \n",
       "833269  1974.0  11844.0   1.0  \n",
       "833270  1974.0  11844.0   1.0  \n",
       "\n",
       "[130542 rows x 10 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_deliver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "64835b78",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing trajectory data...\n",
      "Generate visualization...\n",
      "User Guide: https://docs.kepler.gl/docs/keplergl-jupyter\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98698cc4ec7e42d58051273e757c1ff4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "KeplerGl(config={'version': 'v1', 'config': {'visState': {'filters': [], 'layers': [{'id': 'hizm36i', 'type': …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tbd.visualization_trip(data_deliver)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41b475b6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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